COVID-19 Regional
Safety Assessment
Big Data Analysis of
200 Countries and Regions
COVID-19 Safety Ranking
and Risk Assessment

COVID-19 200 Regional Safety Assessment
Introduction

6

Analytical Framework and Methodology

67

Safety Score 20 Most Safe Regions.

12

Report Scope and Aim

68

COVID-19 Average Score by Regions

13

Brief Methodology Description

69

COVID-19 Ranking of 200 Regions and Territories

16

Data Sources and Data Accuracy Review

73

Analytical Approach Behind the 4-Tiered Ranking System

20

Data Modeling and Calculations

75

COVID-19 Brief Comparative Analysis of 200 Countries andRegions (by Broad Geography)

21

Analytical Framework

79

Tier 1 Methodology Framework

86

Tier 2 and Tier 3 Methodology Framework

104

Tier 4 Methodology Framework

111

COVID-19 Ranking of Asia and Paciﬁc Region

23

COVID-19 Ranking of Europe Region

25

COVID-19 Ranking of Middle East & North Africa

27

COVID-19 Ranking of North America

29

COVID-19 Ranking of Central America

31

COVID-19 Ranking of Eastern Europe and Central Asia

33

COVID-19 Ranking of Sub-Saharan Africa

35

COVID-19 Ranking of South America

37

Key Geography-Speciﬁc Healthcare Parameters

39

COVID-19 Brief Comparative Analysis of 100 Regions by
Categories (Tier 1, Tier 2, Tier 3)

General Conclusions

117

Appendix I: Full List of Countries and Regions

124

Appendix II: Proﬁle Section for Tier 1 Countries and Regions

135

Appendix III: Proﬁle Section for Tier 2 and Tier 3 Countries andRegions

156

Appendix IV: Deep Knowledge Group COVID-19 Activities

237

Deep Knowledge Group Structure60

Disclaimer

250

200 Countries
and Regions:

COVID-19 Regional
Safety Assessment

Tier 1 - 20 Entities
Tier 2- 20 Entities
Tier 3 - 60 Entities
Tier 4 - 100 Entities

Tier 1

Tier 2Tier 3Tier 4

COVID-19 Ranking of 200 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

Switzerland

Region

752

26

Qatar

Region575

51

Uruguay

Region536

76

Mongolia

Region

Score
499

2

Germany749

27

Liechtenstein

572

52

Vatican City

535

77

Lebanon499

3

Israel748

28

Poland

570

53

Italy

533

78

Belgium

498

4Singapore744

29

Lithuania

566

54

Serbia532

79

Andorra

498

5

Japan

738

30

Malaysia

565

55

Philippines

532

80

Cayman Islands

491

6

Austria726

31

Latvia

564

56

India

532

81

Armenia

484

7

China

717

32

Slovenia

564

57

Romania531

82

Moldova483

8Australia

716

33

Oman

562

58

USA

530

83

Myanmar482

9

New Zealand

715

34

Greece560

59

Slovak Republic

530

84

Bangladesh

482

10

South Korea

712

35

Estonia556

60

France529

85

Sri Lanka

482

11

United Arab Emirates

700

36

Croatia556

61

Russia

525

86

Egypt

480

12

Canada699

37

Turkey556

62Argentina

524

87

Tunisia478

13

Hong Kong

698

38

Ireland551

63

Belarus523

88

Albania

476

14

Norway685

39

Georgia

550

64

Monaco523

89

Jordan475

15Denmark

671

40

Cyprus550

65

Sweden522

90

Panama471

16

Taiwan

667

41

Chile

549

66

Ukraine520

91

Brazil470

17

Saudi Arabia

657

42

Montenegro

548

67

Gibraltar

518

92

Morocco465

18

Hungary

656

43

Czech Republic

545

68

United Kingdom

513

93

Algeria461

19

Netherlands

651

44

Malta

544

69

South Africa

512

94

Honduras457

20

Vietnam

637

45

Spain

543

70

San Marino

509

95

Paraguay

455

21

Kuwait633

46

Portugal542

71

Kazakhstan

508

96

Peru

453

22

Iceland600

47

Thailand541

72

Bosnia and Herzegovina

508

97

Indonesia

450

23

Bahrain

592

48

Bulgaria

541

73

Iran

505

98

Cambodia448

24

Finland584

49

Greenland

538

74

Ecuador

505

99

Laos

442

25

Luxembourg

576

50

Mexico537

75

Azerbaijan

499

100

Bahamas440

COVID-19 Ranking of 200 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

101

Isle of Man

Region435

126

Suriname

Region412

151

Zimbabwe

Region367

176

Bolivia

Region

Score
337

102

St. Lucia

434

127

Togo

412

152

Madagascar

364

177

Guinea336

103

North Macedonia

431

128

Belize409

153

Equatorial Guinea

363

178

Malawi

336

104

Dominica

430

129

North Korea

408

154

Sint Maarten (Dutch part)

362

179

Burundi334

105

Antigua and Barbuda

429

130

Mozambique

407

155

Papua New Guinea

360

180

Cameroon

332

106

Dominican Republic

429

131

Turkmenistan

403

156

Guinea-Bissau

358

181

Eritrea332

107

Grenada429

132

New Caledonia

402

157

Ghana

356

182

Côte d'Ivoire

331

108

Kyrgyzstan

429

133

Timor-Leste

402

158

Libya

356

183

Sudan

331

109

Mauritius

429

134

Namibia

401

159

Nicaragua

354

184

Venezuela, RB

331

110

Barbados

428

135

Seychelles

400

160

Angola

350

185

Benin

329

111

Bermuda428

136

Sierra Leone

399

161

British Virgin Islands

350

186

Senegal327

112

Maldives

428

137

Guyana398

162

Cabo Verde

350

187

Somalia326

113

São Tomé and Principe

428

138

Aruba

396

163

Curaçao

350

188

Congo, Rep.

325

114

Cuba

427

139

Guam

394

164

Niger

350

189

Yemen, Rep.

325

115

Micronesia, Fed. Sts.

427

140

Bhutan392

165

Solomon Islands

350

190

Central African Republic

323

116

Nigeria426

141

Jamaica391

166

St. Kitts and Nevis

350

191

Iraq

323

117

Palau

426

142

Nepal

390

167

St.Vincent and Grenadines

350

192

Syrian Arab Republic

321

118

Gabon

424

143

Uganda385

168

Trinidad and Tobago

350

193

Burkina Faso

318

119

French Polynesia

423

144

Gambia380

169

Djibouti

349

194

Tanzania

314

120

Fiji

421

145

Vanuatu

378

170

Guatemala

347

195

Liberia311

121

Uzbekistan

421

146

Comoros

374

171

St. Martin (French part)

345

196

Afghanistan

310

122

Botswana

419

147

Kenya

372

172

Lesotho

343

197

Chad

305

123

El Salvador

416

148

Pakistan

370

173

Haiti

340

198

Mali

300

124

Tajikistan

414

149

Zambia369

174

Ethiopia

338

199

Rwanda300

125

Costa Rica

413

150

Colombia367

175

Mauritania

338

200

South Sudan

300

COVID-19 Regional Safety Assessment: Introduction
A comprehensive and quantitative analysis of the far-reaching global pandemic arising from the novel coronavirus is a critical challengethat must be carried out in order to plan the best strategic measures to reduce and neutralize negative repercussions of the outbreak until
the ﬁnal solution of a vaccine is within the reach of the scientiﬁc and medical community. With this in mind, Deep Knowledge Group’s new
COVID-19 special analytical case study is designed to classify, analyze and rank the economic, social and health stability achieved by 200
regions, countries and territories, as well as the strengths, weaknesses, opportunities, and threats or risks that they possess and faceagainst the global health and economic crisis triggered by COVID-19.
The analysis utilizes a subset of 20 parameters from the full pool of 130 qualitative and quantitative parameters (grouped into 6 broad
and top-level categories) previously developed for Deep Knowledge Group’s ﬁrst COVID-19 Regional Safety Assessment, in combination
with certain qualitative characteristics, to group 200 regions and territories into 4 distinct Tiers, and then applies distinct subsets of those
130 parameters to rank the regions in each different Tier: Tier 1 (20 regions, 130 parameters per region), Tier 2 (20 regions, 60
parameters), Tier 3 (60 regions, 60 parameters) and Tier 4 (100 regions, 40 parameters). Additionally, Tiers 3 and 4 use speciﬁc qualitative
parameters to conduct their groupings as well. Tier 2 is made up of territories that scores as well as expected given their general(non-pandemic) level of healthcare and government management eﬃciency, while Tier 3 consists of regions that scored signiﬁcantly
lower than expected. Meanwhile, Tier 4 consists of territories in which signiﬁcant data unavailability and reliability prevented a fullycomprehensive analysis from being conducted.
It is Deep Knowledge Group’s aim that, regardless of whether the conclusions and recommendations presented in this special analyticalcase study are adopted wholesale, the present analysis can serve as a starting point for discussion and a resource for governments tooptimize current and post-pandemic safety and stability, and as a toolset for establishing the best possible action plans for eachparticular region, in order to maintain the health and economic well-being of their populations and reverse the collateral damage caused
by COVID-19.
Deep Knowledge Group6

Key Developments Since Previous Edition:
New Changes to Top-5 Safest Regions
Several key changes and extensions of the methodology and analytical framework used in Deep Knowledge Group’s previous COVID-19
Regional Safety Assessment were made during the process of developing the analytical foundation for this new extended edition.
In addition to the use of a new Tiering system to group regions, countries and territories together according to several common
characteristics, recent developments in just the past two weeks, as well as the changing nature of the pandemic itself, has resulted inimportant changes in the list of the top-5 safest regions.
Given that the present special case study applies the same set of 130 parameters to Tier 1 regions as used in the previous edition(including both the parameters themselves as well as their weightings, or importance factors), the changes seen within region-speciﬁcrankings in Tier 1 exemplify how fast the global dynamic of the COVID-19 pandemic is changing, and how quickly the levels of regional
vulnerability and resilience of speciﬁc regions and territories can transform.
Speciﬁcally, Switzerland now occupies the #1 position (surpassing both Israel and Germany in comparison to the previous list), withGermany still occupies #2 (surpassing Israel on the one hand, but also being surpassed by Switzerland), and with Israel now occupying
the #3 position (down from the #1 position in the previous list).
Meanwhile, Singapore and Japan still occupy positions #4 and #5, retaining their original locations in comparison to the ﬁrst edition of
Deep Knowledge Group’s Regional Safety Assessment. However, this does not necessarily mean that the dynamic of the COVID-19
pandemic is changing more swiftly in Switzerland, Germany and Israel, but rather than Singapore and Japan’s overall approach toneutralizing the pandemic and promoting positive post-pandemic outcomes has changed less in recent weeks than those of Switzerland,
Germany and Israel.
Deep Knowledge Group7

Key Developments Since Previous Edition:
New Changes to Top-5 Safest Regions
Both Switzerland and Germany were very close to major epicenters of initial COVID-19 spread in Europe, and experienced quite signiﬁcantvolumes of infection spread and mortality early within the overall pandemic timeline.
However, as the rates of mortality and new cases continue to decline in these territories, and as they begin to relax lockdown measuresand reinitiate economic activity, it is clear that they survived and surpassed a very critical stress-test, succeeding to apply quick andeﬃcient quarantine efforts, monitoring and detection, economic freezing and effective treatment, recovery and release of COVID-19
patients to prevent an overburdening of their healthcare systems. And, indeed, their recent activities in relaxing lockdowns and reinitiating
economic and social activity is tangible evidence of this success. It is for these reasons that Switzerland and Germany now occupy the
top two positions in this new edition of Deep Knowledge Group’s COVID-19 Regional Safety Assessment.
Moreover, these changes in the list of top-scoring regions reﬂect not only recent transformations in the situation of particular regions, butalso of the fundamental nature of the pandemic itself, and what regional safety and stability means in practice in light of COVID-19. In ourprevious safety and risk assessment, regions which had very high levels of emergency preparedness and a capacity to eﬃciently manage
national crises achieved the highest score because they had the greatest likelihood of managing the early stages of the pandemic (inother words, regions’ core capacity to survive the critical stress test of COVID-19’s ﬁrst wave).
However, now that it has become clear who did and did not succeed to face that ﬁrst wave optimally, and as regions begin to prepare forrelaxing lockdown conditions and economic freezing mandates, it is the factors which impact their capacity to withstand the future of
COVID-19, and to prevent economic fallout without sacriﬁcing public health and safety and the risk of second waves of infection, that takeon the greatest levels of importance moving forward.
Deep Knowledge Group8

Key Developments Since Previous Edition:
New Changes to Switzerland’s Ranking
Switzerland now occupies the #1 position as the safest region
according to the present analysis, in large part due to acontinuing decline in its rate of infection spread and mortality,and key factors that put it in a better position to maintain ahealthy post-pandemic economy.
In particular, its comparatively low level of state debt (roughly
33% of its GDP), and its reputation as the major economic andﬁnancial epicenter of Europe, lends the region a high degree of
economic resiliency in the face of the COVID-19 economic crisis
being felt around the world.
However, one major focus that the Swiss government shouldseek to offset moving forward in order to optimize its likelihood
for a healthy post-pandemic economy is decreasing the country’s
dependency on export-related revenues as much as possible.
Nearly half its GDP comes from exports to other countries (with
2/3rds going to the EU and US). If EU and US-based recessions
occur, Switzerland's dependence on these regions forexport-related revenues could be a major weakness.
Deep Knowledge Group752
CUMULATIVESCORE

COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 65.26

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 85.56

COVID-19 Monitoring and
Detection
Weight 1.5

Category Score 87.67

144

101

POINTS

POINTS

188

93

POINTS

POINTS

131

95

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 77.75

COVID-19 Regional Resiliency
Weight 1.3

Category Score 71.66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 63.04

9

Key Developments Since Previous Edition:
New Changes to Germany’s Ranking
Germany now occupies the #2 safest position among the 200
regions featured in the present analysis due to a combination of
economic resiliency and a continuing decline in its COVID-19
infection spread and mortality rates. The region has acomparatively favourable level of national debt (60% of its GDP),
which has been on a steady decline, down from 65% in 2017 and
83% in 2010, giving it a fair level of economic resilience andcapacity to sustain the impact of the economic support tocitizens and businesses that it has already provided.

749
CUMULATIVESCORE

COVID-19 Quarantine Eﬃciency

While Germany does expect its national economy to shrink by
6.6% by the end of 2020, several experts predict that this will
eventually be offset by a 10.2% growth in GDP by 2021. The
country has been engaging in a cautious and slow relaxation ofits lockdown and economic freezing mandates for several weeks
now, most recently beginning to ease even some of its travel
restrictions for European countries. As long as the region
continues to approach jump-starting economic activity slowly, in
accordance with the changing realities of the pandemic and witha willingness to adapt if it sees large spikes or a second wave of
COVID-19, the country's prospects for a comparatively healthy
post-pandemic economy are favourable.
Deep Knowledge Group

Weight 2.2

Category Score 59.45

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 88.13

COVID-19 Monitoring and
Detection
Weight 1.5

Category Score 91.97

131

102

POINTS

POINTS

194

105

POINTS

POINTS

138

79

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 78.82

COVID-19 Regional Resiliency
Weight 1.3

Category Score 81.10

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 52.92

10

Key Developments Since Previous Edition:
New Changes to Israel’s Ranking
The change in Israel’s ranking, from the #1 position to the #3
position, is due in part to a comparatively higher degree of
economic vulnerability resulting from the pandemic incomparison to regions like Switzerland and Germany (with GDP
declining by 7% in the ﬁrst quarter of 2020), and in part to very
recent changes in the dynamic of the pandemic within its own
borders. A recent survey conducted by the Israeli Innovation
Authority (IIA) found that many early-stage technology
companies are facing bankruptcy due to COVID-19, and with 65%
of Israeli startups planning to cease operations within the next 6
months as a result of the pandemic. Given that the high-tech
sector accounts for 10% of the Israeli economy, this could havewidespread effects on Israel's economic outlook.
Furthermore, following a steady decline in infection spread andmortality rate, the number of new cases is beginning to riseagain. While Israel’s current situation could be altered quite
rapidly given how recent these changes in the rate of COVID-19
spread have occurred, it must be dealt with swiftly in the form ofchanges to its lockdown relaxation and economic recovery
mandates that reﬂect the adapting reality of the pandemic within
its own borders.
Deep Knowledge Group748
CUMULATIVESCORE

COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 57.98

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 86.66

COVID-19 Monitoring and
Detection
Weight 1.5

Category Score 95.38

128

85

POINTS

POINTS

191

89

POINTS

POINTS

143

113

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 65.38

COVID-19 Regional Resiliency
Weight 1.3

Category Score 68.46

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 75.43

11

Safety Score 20 Most Safe Regions
Tier 1
685
Norway

717
China

656
Hungary

712

749

South
Korea

Germany

671
Denmark

651

738

Netherlands

699
CanadaJapan

752
Switzerland

667
Taiwan

726

698

700

Austria

Hong
Kong
TaiwanUAE

637
Vietnam

715

748

744

IsraelSingapore

New
Zealand657
Saudi
Arabia716
Australia

COVID-19 Average Score by Regions
480

North America

562

EuropeEastern Europe andCentral Asia

549

Middle East &North Africa

Central America

502
Asia and Paciﬁc

405
359
502

445
Sub-SaharanAfricaSouth America

COVID-19 Analytical Scope and Main Parameters
Quantity of Parameters

Data Resources and Data Points

130 Parameters for Tier 1

500 Data Sources

60 Parameters for Tier 2 and Tier 3

11,400 Data Points

40 Parameters for Tier 4

6 Categories and 30 Indicators

Quantity of Regions

Proprietary Analytics

Tier 1: 20 Regions

1 Proprietary Category

Tier 2 and Tier 3: 80 Regions

6 Proprietary Indicators

Tier 4: 100 Regions

11 Proprietary Parameters

COVID-19 Regional Safety Assessment
Analytical Framework
QuarantineEﬃciency
Infection
Risk

Government Eﬃciency of Risk Management

Scale of Quarantine

Quarantine Timeline

Level of Security and Defense Advancement

Rapid Emergency Mobilization

Criminal Penalties for Violating Quarantine

Economic Support for Quarantined Citizens

Eﬃciency of Government Structure

Economic Sustainability

Economic Supply Chain Freezing

Travel Restrictions

Pandemic Readiness

Legislative Eﬃciency

Monitoring and Detection

Healthcare Readiness

Monitoring Systems & Disaster
Management

Scope of Diagnostic Methods

COVID-19 Equipment Availability

Mobilization of New Healthcare Resources

Testing Eﬃciency

AI for Diagnostics and Prognostics

Quantity and Quality of Medical Staff

Level of Healthcare ProgressivenessGovernment Surveillance Technology for
Monitoring

Reliability and Transparency of Data

Level of Technological Advancement

Epidemiology System Level of Development

Regional Resiliency
Infection Spread Risk

Culture Speciﬁcs and Societal Discipline

Level of Modern Sanitization Methods

Demography

Chronic Diseases

Geopolitical Vulnerability

Emergency Preparedness
Societal Emergency Resilience

Emergency Military Mobilization Experience

Surveillance Capabilities

Previous National Emergency Experience

Tier 1
Regions COVID-19 Safety Ranking#1

SWITZERLAND

752

#11

UNITED ARAB EMIRATES

700

#2

GERMANY749#12

CANADA699#3

ISRAEL748#13

HONG KONG

698#4

SINGAPORE

744

#14

NORWAY

685

#5

JAPAN

738

#15

DENMARK

671#6

AUSTRIA726#16

ISRAELTAIWAN

667

#7

CHINA

717

#17

SAUDI ARABIA

657

#8

AUSTRALIA

716

#18

HUNGARY

656#9

NEW ZEALAND

715

#19

THE NETHERLANDS

651

#10

SOUTH KOREA

712

#20

VIETNAM

637

Tier 2
Regions COVID-19 Safety Ranking#21

KUWAIT

633#31

LATVIA

564#22

ICELAND

600#32SLOVENIA

564#23

BAHRAIN

592

#33

OMAN

562

#24

FINLAND

584#34

GREECE

560#25

LUXEMBOURG

576

#35

ESTONIA

556

#26

QATAR

575

#36

ISRAEL
CROATIA

556#27

LIECHTENSTEIN

572

#37

TURKEY556#28

POLAND

570#38

IRELAND

551#29

LITHUANIA

566

#39

GEORGIA550#30

MALAYSIA

565#40

CYPRUS

550

Tier 3
COVID-19 Ranking of 60 Countries and Regions
Rank

Region

Score

Rank

Region

Score

Rank

Region

Score

41

Chile

549

61

Russia525

81

Armenia484

42Montenegro

548

62

Argentina

524

82

Moldova

483

43

Czech Republic

545

63

Belarus523

83

Myanmar

482

44

Malta

544

64

Monaco523

84

Bangladesh

482

45

Spain

543

65

Sweden522

85

Sri Lanka

482

46

Portugal

542

66

Ukraine

520

86

Egypt

480

47

Thailand541

67

Gibraltar

518

87

Tunisia

478

48

Bulgaria

541

68

United Kingdom

513

88

Albania476

49Greenland

538

69

South Africa

512

89

Jordan475

50

Mexico537

70

San Marino

509

90

Panama471

51

Uruguay536

71

Kazakhstan

508

91

Brazil470

52

Vatican City

535

72

Bosnia and Herzegovina

508

92

Morocco

465

53

Italy

533

73

Iran

505

93

Algeria461

54

Serbia532

74

Ecuador505

94

Honduras

457

55

Philippines

532

75

Azerbaijan

499

95

Paraguay

455

56

India

532

76

Mongolia

499

96

Peru

453

57

Romania

531

77

Lebanon499

97

Indonesia

450

58

United States

530

78

Belgium498

98

Cambodia448

59

Slovak Republic

530

79

Andorra

498

99

Laos

442

60

France529

80

Cayman Islands

491

100

Bahamas440

Deep Knowledge Group18

Tier 4COVID-19 Ranking of 100 Countries and Region
Rank

Score

Rank

Score

Rank

Score

Rank

101

Isle of Man

Region435

126

Suriname

412

151

Zimbabwe

367

176

Bolivia337

102

St. Lucia

434

127

Togo

412

152

Madagascar

364

177

Guinea336

103

North Macedonia

431

128

Belize409

153

Equatorial Guinea

363

178

Malawi

336

104

Dominica

430

129

North Korea

408

154

Sint Maarten (Dutch part)

362

179

Burundi334

105

Antigua and Barbuda

429

130

Mozambique

407

155

Papua New Guinea

360

180

Cameroon

332

106

Dominican Republic

429

131

Turkmenistan

403

156

Guinea-Bissau

358

181

Eritrea332

107

Grenada429

132

New Caledonia

402

157

Ghana

356

182

Côte d'Ivoire

331

108

Kyrgyzstan

429

133

Timor-Leste

402

158

Libya

356

183

Sudan

331

109

Mauritius

429

134

Namibia

401

159

Nicaragua

354

184

Venezuela, RB

331

110

Barbados

428

135

Seychelles

400

160

Angola

350

185

Benin

329

111

Bermuda428

136

Sierra Leone

399

161

British Virgin Islands

350

186

Senegal327

112

Maldives

428

137

Guyana398

162

Cabo Verde

350

187

Somalia326

113

São Tomé and Principe

428

138

Aruba

396

163

Curaçao

350

188

Congo, Rep.

325

114

Cuba

427

139

Guam

394

164

Niger

350

189

Yemen, Rep.

325

115

Micronesia, Fed. Sts.

427

140

Bhutan392

165

Solomon Islands

350

190

Central African Republic

323

116

Nigeria426

141

Jamaica391

166

St. Kitts and Nevis

350

191

Iraq

323

117

Palau

426

142

Nepal

390

167

St.Vincent and Grenadines

350

192

Syrian Arab Republic

321

118

Gabon

424

143

Uganda385

168

Trinidad and Tobago

350

193

Burkina Faso

318

119

French Polynesia

423

144

Gambia380

169

Djibouti

349

194

Tanzania

314

120

Fiji

421

145

Vanuatu

378

170

Guatemala

347

195

Liberia311

121

Uzbekistan

421

146

Comoros

374

171

St. Martin (French part)

345

196

Afghanistan

310

122

Botswana

419

147

Kenya

372

172

Lesotho

343

197

Chad

305

123

El Salvador

416

148

Pakistan

370

173

Haiti

340

198

Mali

300

124

Tajikistan

414

149

Zambia369

174

Ethiopia

338

199

Rwanda300

125

Costa Rica

413

150

Colombia367

175

Mauritania

338

200

South Sudan

300

Deep Knowledge GroupRegionRegionRegionScore

19

COVID-19 Regional Safety Index: Analytical
Approach Behind the 4-Tiered Ranking System
Tier 1 consists of 20 regions with exceptionally high level sof regional safety, as
determined by the full application of all 130 parameters across all 6 Regional Safety Index
Categories.
Tier 2 consists of 20 regions that scored comparatively well in terms of regional safetyaccording to the phase-1 analysis using 20 parameters, but not as well as those in Tier 1.
After being located in Tier 2, they were ranked amongst each other using a subset of 60
parameters.
Tier 3 consists of 60 regions that scored much less favourably during the ﬁrst-phaseanalysis that would be expected considering their general pre-pandemic levels of
Quarantine Eﬃciency, Government Eﬃciency of Risk Management, Monitoring and
Detection Eﬃciency, Health Readiness, Regional Resilience and Emergency Preparedness.
Tier 4 consists of 100 regions that scored least favourably during the ﬁrst-phase analysis,
and which suffer from high levels of data unavailability or unreliability. After being placedin Tier 4, they were ranked amongst each other using a subset of 40 parameters (due todata availability issues which prevented a more comprehensive analysis).

Tier 1130 Parameters
Tier 1130 Parameters

Tier 260 Parameters

Tier 360 Parameters

Tier 440 Parameters

The aim of this approach is to conduct as comprehensive an analysis as possible
considering each region’s unique levels of data availability and reliability.
Deep Knowledge Group

20

COVID-19
Brief Comparative Analysis of
200 Countries and Regions(by Broad Geography)

Deep Knowledge Group21

Safety Score of 200 Regions and Territories

Eastern Europe andCentral Asia

EuropeNorth America
Middle East &North Africa

Central America

Sub-SaharanAfricaAsia and Paciﬁc

South America

Deep Knowledge Group

Risky

Safe

22

Safety Score of Asia and Paciﬁc Region

310

Deep Knowledge Group

Mongolia

499

Afghanistan

310

Japan

738

Pakistan

370

North Korea

408

India

535

South Korea

712

Nepal

390

China

717

Taiwan667

Philippines

532

Malaysia

565

Indonesia

450

Papua New Guinea

360

Solomon Islands

350

New Caledonia

402

Fiji

421

Australia

716

New Zealand

715

Micronesia, Fed. Sts.

427

Palau

426

French Polynesia

423

Timor-Leste

402

Guam

394

Vanuatu378

Sri Lanka

482

Singapore

744

Bangladesh

482

Bhutan392

Myanmar482

Thailand

541

Laos

442

Cambodia

448

Vietnam637

Maldives

428

740

23

COVID-19 Ranking of Asia and Paciﬁc Region
Rank
1 Singapore
2 Japan
3 China
4 Australia

Region

Score
744
738
717
716

5 New Zealand715

6 South Korea
7 Hong Kong
8 Taiwan
9 Vietnam
10 Malaysia
11 Thailand
12 Philippines
13 India
14 Mongolia
15 Myanmar
16 Bangladesh
17 Sri Lanka
18 Indonesia

712
698
667
637
565
541
532
532
499
482
482
482
450

East Asia and Paciﬁc shows acomparatively higher level of diversity
among the rankings of its regions thanother broad geographical groups
featured in the present analysis. The
majority of positively-scoring territories
are located in Asia speciﬁcally (with the
exception of New Zealand), and one of
the most common factors among theminclude the presence of governmentswith a high degree of emergency
preparedness and capacity for rapid
mobilizationofresources(e.g.,
Singapore and China). Meanwhile, otherregions appear to score well due to ahighdegreeofhealthcare
modernization, as well as cultural andcitizen responsibility (eg., Japan andAustralia).

Rank
Region19 Cambodia
20 Laos
21 Maldives
22 Micronesia, Fed. Sts.
23 Palau

Score
448
442
428
427
426

24 French Polynesia

423

25 Fiji
26 North Korea
27 New Caledonia
28 Timor-Leste
29 Guam

421
408
402
402
394

30 Bhutan392

31 Nepal
32 Vanuatu
33 Pakistan
34 Papua New Guinea
35 Solomon Islands
36 Afghanistan

390
378
370
360
350
310

The overall COVID-19 timelines in Asia Paciﬁc are later than in EU, and many Asian regions in particular appear to be nearing the later stages ofthe pandemic, while for the most part European regions are in the middle or early in the latter half of it. Asia Paciﬁc appears more dominated byvery positively and very negatively scoring territories, and a lower number of average-ranking regions. In many cases the lowest-scoring territories
suffer from data unavailability and unreliability, a lower capacity of their governments to rapidly deploy resources for crisis management andenforce stringent lockdown mandates enforceable penalties, and general healthcare ineﬃciencies.
Deep Knowledge Group24

Safety Score of Europe Regions

431

Deep Knowledge Group

Denmark

671

Sweden522

Belgium

498

Finland584

Estonia556

Iceland600

Latvia564

Norway685

Lithuania

566

Ireland551

The Netherlands

651

United Kingdom

513

Germany

749

France529

Poland

570

Spain

543

Czech Republic

545

Portugal542

Slovakia

530

Luxembourg

576

Hungary

656

Liechtenstein

572

Croatia

556

Vatican City

535

Romania

531

Monaco523

Turkey556

Gibraltar

518
509

Switzerland

752

Bosnia andHerzegovina

508

San Marino
Isle of Man

431

Austria

726

Serbia532

Slovenia

564

Bulgaria

541

Italy

533

North Macedonia

431

Albania

476

Cyprus550

Montenegro

548

Greece

560

749

25

COVID-19 Ranking of Europe Region
Rank

Region

Score

Rank

Region

Score

Rank

RegionScore

1 Switzerland

752

16 Greece560

31 Slovakia

530

2 Germany749

17 Estonia

556

32 France529

3 Austria

726

18 Croatia

556

33 Monaco523

4 Norway685

19 Turkey

556

34 Sweden522

5 Denmark671

20 Ireland551

35 Gibraltar

518

6 Hungary656

21 Cyprus

550

36 United Kingdom

513

7 Netherlands

651

22 Montenegro548

37 San Marino

509

8 Iceland

600

23 Czech Republic

545

38 Bosnia and Herzegovina

508

9 Finland584

24 Spain543

39 Andorra

498

10 Luxembourg

576

25 Portugal

542

40 Belgium

498

11 Liechtenstein572

26 Bulgaria

541

41 Albania

476

12 Poland570

27 Vatican City

535

42 Isle of Man

435

13 Lithuania

566

28 Italy533

43 North Macedonia

431

14 Latvia

564

29 Serbia

532

15 Slovenia

564

30 Romania

531

Europe is dominated by a large number of average-ranking countries, with a smaller number scoring exceptionally high or low in terms ofregional safety. We do see a number of so-called “outliers” in the region as well, i.e., countries who should score well given their generallyhigh degrees of healthcare robustness, such as France and especially the United Kingdom, but which do not. This observation is a strong
indicator that one of the most critical factors impacting regional safety and stability is not the general level of healthcare sophistication in
non-pandemic times, but the speciﬁc governmental crisis management strategies and policies used to combat pandemics.
Deep Knowledge Group26

Safety Score of Middle East & North Africa
Regions
544

323

Malta

499
749

478

Iraq

321

505

Syria

Iran

IsraelTunisia465

Lebanon356

MoroccoLibya

633
Kuwait

575
Qatar

461
Algeria

700
UAE

475
Jordan

480
Egypt

562

657

321

751

Saudi
Arabia

349

Oman

325
Yemen

Djibouti

Deep Knowledge Group

27

COVID-19 Ranking of Middle East & North Africa
Rank

RegionScore

1 Israel749

2 United Arab Emirates

700

3 Saudi Arabia

657

4 Kuwait

633

5 Bahrain

592

6 Qatar575

7 Oman562

8 Malta544

9 Iran505

10 Lebanon

499

11 Egypt480

12 Tunisia

478

13 Jordan

475

14 Morocco465

15 Algeria

461

16 Libya

356

17 Djibouti

349

18 Yemen

325

19 Iraq323

20 Syrian Arab Republic

321

Deep Knowledge GroupThe regions within the Middle East and North Africa group that scored well in termsof cumulative regional COVID-19 safety have a few commonalities which impact
their comparatively optimal ranking.
For example, many of them (e.g. Bahrain, Kuwait, UAE, Oman, Qatar, etc) are wealthy
regions with large oil reserves, which in many cases possess very well funded
universal health care systems. Many of these territories have also in recent years
made substantial investments in medical modernization and the development of
cutting edge healthcare technologies and facilities, and have for several years beencommitted to the development of sophisticated advanced healthcare cities andhubs. However, those regions that have not made signiﬁcant strides in thedevelopment of globally competitive healthcare and biomedicine ecosystems scorecomparatively less well.
Another commonality among the positively-scoring regions within this group istangible experience with national emergency management and rapid mobilization of
resources for crisis management. Israel is among the leaders in this regard, andproved capable of very eﬃciently utilizing its various crisis-neutralization policies,
technologies and experience to reduce COVID-19 spread and mortality.
For some of the most poorly-scoring regions within this group, a common issue isthe general prevalence of ongoing geopolitical tensions and military conﬂict, whichconstitute existing national emergencies that preclude governments from allocating
substantial time, attention and resources to the current COVID-19 pandemic.
28

Safety Score of North America

538
Greenland

537
USA

699
Canada428

Deep Knowledge Group428
Bermuda699
29

COVID-19 Ranking of North America
Rank

RegionScore

1 Canada699

2 Greenland538

3 United States

530

4 Bermuda

428

North America has just one country in Tier 1 (Canada), two countries in Tier 3 (UnitedStates and Greenland), and one in Tier 4 (Bermuda). Thus, the region is marked by asingle exceptional outlier, and three countries that score comparatively negatively.
Greenland is located near the higher end of Tier 3, largely as a result of its comparatively
low current volume of total cases and death rate (positive factors which are slightly
offset by its general unpreparedness for future outbreaks of COVID-19).

Meanwhile, Bermuda owes its ranking to its comparatively lower healthcare eﬃciency and readiness levels, and also due to its
economic and geographic isolation. As a smaller economy, the economic risks posed by COVID-19 are much greater than other
territories.
The United States is an interesting outlier, in that it has a high degree of healthcare sophistication, strong technologies for monitoringand protection, and the capacity to employ and enforce strict lockdown and social distancing measures. Despite this, it has one of thehighest infection spread and mortality rates in the world, and for this reason is placed in Tier 3 (reserved for regions which ranked
signiﬁcantly lower-than-expected in terms of regional safety). Considering its assets and capacity for government management
eﬃciency, emergency preparedness, monitoring and detection, and healthcare readiness, the central factor impacting its current
situation and its speciﬁc ranking are the speciﬁc policies and crisis management strategies that its federal and state-level governments
have deployed. The US imposed lockdown measures and testing fairly late in the overall pandemic timeline, and the country is alreadyrelaxing its states’ economic freezing and quarantine mandates as infection spread and mortality rates continue rise.
Canada, by contrast, has been much slower to relax its lockdown and social distancing mandates, and to re-open its economy. This,
combined with the fact that its overall death rate and infection spread rate are on the downward trend, and its comparatively positivescores over all 6 categories included in the present analysis, are some of the factors indicating its exceptionally high regional safety
score, and it position as one of the 20 countries and territories located in Tier 1.
Deep Knowledge Group30

Safety Score of Central America
391
427

Jamaica

Cuba

409
Belize537
Mexico340
Haiti

Cayman Islands

491

429

Bahamas440

Dominican
Rep.

St. Lucia

434

347

Aruba

396

GuatemalaAntigua and Barbuda

380

430

Curaçao350

Dominica

St. Kitts and Nevis

350

St. Vincent and the
Grenadines

350

Trinidad and Tobago

350

340

Deep Knowledge Group

537

457
Honduras

471

416

PanamaEl Salvador

354
Nicaragua

354
Costa Rica

GrenadaBarbados
Sint Maarten (Dutch part)
British Virgin Islands

429
428
362
350

St. Martin (French part)

345

31

COVID-19 Ranking of Central America
Rank

Region

Score

Rank

RegionScore

1 Mexico537

14 Costa Rica

413

2 Cayman Islands

491

15 Belize409

3 Panama

471

16 Aruba

396

4 Honduras

457

17 Jamaica

391

5 Bahamas440

18 Sint Maarten (Dutch part)362

6 St. Lucia

434

19 Nicaragua354

7 Dominica

430

20 British Virgin Islands

350

8 Antigua and Barbuda

429

21 Curaçao

350

9 Dominican Republic429

22 St. Kitts and Nevis

350

10 Grenada

429

23 St. Vincent and the Grenadines

350

11 Barbados

428

24 Trinidad and Tobago

350

12 Cuba427

25 Guatemala347

13 El Salvador

416

26 St. Martin (French part)345

27 Haiti

340

Central America is marked by a large
number of countries that scorecomparatively negatively in thepresent analysis, with the majority
falling in Tier 4, and the rest in Tier 3,
and none in Tiers 1 or 2.
Common factors among many of thelower-scoring countries in Central
America include smaller economies,
lower healthcare eﬃciency andsubstandard
publichealthinfrastructure (and even among thewealthier low-scoring regions, poor
rankings in healthcare parameters
tend to lower their cumulative scores),as well as economic and geographic
isolation.

Central America’s highest scoring region is Mexico, which is located in the upper region of Tier 3. Mexico also has a relatively small
aging population, which helps to lessen its overall mortality risk, but also suffers from a high prevalence of diabetes and obesity. It also
has a signiﬁcant lack of healthcare resources (roughly 50% of per capita hospital beds and 25% of nurses compared to the US).
Furthermore, 60% of its citizens rely on unregistered businesses and street sales for employment, and a national lockdown would wreak
severe economic consequences for the region. Mexico also did not impose any nonessential business closures, bans on large
gatherings or social distancing mandates until late March, much later than many other regions.
Deep Knowledge Group32

Safety Score of Eastern Europe and Central Asia
499

523

Azerbaijan

550

Belarus525

Georgia

Russia520
Ukraine508
Kazakhstan

483
Moldova484

429

Armenia

Kyrgyzstan

403
Turkmenistan

414
Tajikistan

403

508
421
Uzbekistan

Deep Knowledge Group33

COVID-19 Ranking of Eastern Europe and Central Asia
Rank

RegionScore

1 Georgia

550

2 Russia525

3 Belarus

523

4 Ukraine

520

5 Kazakhstan508

6 Azerbaijan

499

7 Armenia

484

8 Moldova

483

9 Kyrgyzstan

429

10 Uzbekistan

421

11 Tajikistan

414

12 Turkmenistan

403

We tend to see a general trend of consistently low scores for territories located in Central Asia, inpart due to a generally lower degree of healthcare eﬃciency, modernization and technologicalsophistication, and lower levels of investments into robust technologies for monitoring andsurveillance. We also see a high degree of data unavailability and unreliability in Central Asian
regions as well, which precludes a more thorough and comprehensive analysis of regional safety.
Central Asia does have some particular outliers who received signiﬁcantly lower scores than theirneighbors due largely to ineﬃciencies with government management and policy. While many Central
Asian regions begin imposing lockdown mandates in mid-March, Tajikistan did not impose any sortof quarantine measures until Mid-May, while Turkmenistan has not imposed any to date, which is alarge factor impacting their comparatively lower scores.
Generally speaking, our analysis revealed scores for Eastern European regions that are on the lower
end of average, similarly due in part to lower healthcare modernization and technologicalsophistication.
These factors, however, are offset by the fact that many Eastern European regions implemented
lockdown measures much earlier on average than Western European countries, which seems to have
led to average COVID-19 growth rates and death tolls substantially lower than Western Europe.
However, this is not a universal trend within Eastern Europe.

Some countries, however, have much more deﬁnitive and particular causes behind their comparatively low rankings, as in the case of
Russia, where lockdown orders began to be relaxed in mid-May, despite the fact that the volume of new cases and deaths continued tosteadily rise on the order of 10,000 new cases per day. The region also suffers from growing public concerns over the reliability of its
publicly-stated mortality rate and the comparative lack of COVID-speciﬁc Russian government economic intervention.
Deep Knowledge Group34

Safety Score of
Sub-Saharan Africa Regions

Sudan

331

Chad

305

RwandaBurundi

300
334

350

Mauritania

338

Central African Rep.

323

Senegal327

South Sudan

300

Gambia380

Eritrea332

336

Ethiopia

338

358

Somalia326

399

Uganda385

Liberia

311

Kenya

372

Côte D`Ivoire

331

Tanzania

314

Ghana

356

Zambia369

412

Malawi

336

329

Zimbabwe

367

Madagascar

364

Seychelles

400

Guinea Bissau
Sierra Leone

Togo
Benin

Nigeria
Cameroon
Gabon
Congo, Rep.
AngolaEquatorial Guinea

Deep Knowledge Group

300
318
350

Cabo Verde

Guinea300

Mali
Burkina Faso
Niger

512

426
332
424
325
350
363

Mozambique
Namibia
BotswanaSouth Africa
MauritiusSão Tomé and Principe
Comoros
Lesotho

407
401
419
512
429
428
374
343

35

COVID-19 Ranking of Sub-Saharan Africa
Rank

Region

Score

Rank

RegionScore

1 South Africa

512

24 Niger350

2 Mauritius

429

25 Lesotho343

3 São Tomé and Principe

428

26 Ethiopia

338

4 Nigeria

426

27 Mauritania

338

5 Gabon424

28 Guinea

336

6 Botswana

419

29 Malawi336

7 Togo412

30 Burundi334

8 Mozambique407

31 Cameroon

332

9 Namibia

401

32 Eritrea

332

10 Seychelles

400

33 Côte d'Ivoire

331

11 Sierra Leone

399

34 Sudan331

12 Uganda

385

35 Benin329

13 Gambia

380

36 Senegal

327

14 Comoros

374

37 Somalia326

15 Kenya372

38 Congo

325

16 Zambia

369

39 Central African Republic323

17 Zimbabwe

367

40 Burkina Faso

318

18 Madagascar

364

41 Tanzania

314

19 Equatorial Guinea

363

42 Liberia

311

20 Guinea-Bissau

358

43 Chad305

21 Ghana

356

44 Mali

300

22 Angola350

45 Rwanda

300

23 Cabo Verde350

46 South Sudan

300

Deep Knowledge GroupWe see a great deal of variance among the regional safety scores of
Sub-Saharan Africa.
While the broad region’s COVID-19 growth and death rates aremarkedly lower than the majority of other territories included in thepresent analysis, its overall healthcare infrastructure and eﬃciency, as
well as sanitation levels, are also comparatively lower, and generally
the region has a lesser capacity to deal with potential future increases
in COVID-19 infection spread than other regions.
South Africa scores highest among territories within Sub-SaharanAfrica due to their proactive response in terms of lockdown measuresand testing. It began implementing lockdown measures in Mid-March,closing half its land borders, banning tourists from high-risk regions,and declaring a national state of emergency. South Africa also put
strong emphasis on detecting outbreaks in smaller communities andisolating positive cases to deter rapid infection spread.
Overall, the lowest-scoring Sub-Saharan African regions included in theanalysis suffer from lower-than-average healthcare quality, sanitationand monitoring and detection infrastructure, and higher-than-average
infection spread risk, coupled by signiﬁcant levels of data unavailability
and unreliability, which are among the factors impacting their overall
regional safety rankings.

36

Safety Score ofSouth America

331
Venezuela

398
Guyana367
Colombia

412
Suriname

505
Ecuador

453

470

Peru

Brazil337

455

BoliviaParaguay

536
549

Uruguay

Chile

331
Deep Knowledge Group

549

524
Argentina

37

COVID-19 Ranking of South America
Rank

RegionScore

1 Chile549

2 Uruguay536

3 Argentina

524

4 Ecuador505

5 Brazil470

6 Paraguay455

7 Peru453

8 Suriname

412

9 Guyana

398

10 Colombia

367

11 Bolivia

337

12 Venezuela

331

We see a remarkable degree of variance in the regional safety scores for South America.
Chile has received a higher-than-average score in part due to its widespread testing
efforts, which has helped keep the region’s mortality rate much lower than the global
average.
A common factor among the majority of regions with signiﬁcantly higher-than-averageregional safety scores in South America include very early, proactive government
responses (such as Chile, Uruguay, Peru and Ecuador). Uruguay, for example, declared ahealth emergency (closing schools and closing its borders) the same day that it detected
its ﬁrst four cases. And while it has not imposed mandatory lockdown measures, it has
encouraged voluntary isolation, which has been largely adopted by its low-density
population.
For the most part, higher-than-average rankings for regions in South America can be
attributed less to tangible differences in healthcare modernization or development, andmore to the speciﬁc policies and COVID-19 measures implemented by their governments.

Meanwhile, some of the largest economic regions within South America, such as Brazil, have been comparatively slow in imposing
lockdown measures in fear of economic repercussions, and in late May saw rapid increases in their COVID-19 growth rates, with Brazil
rising in a very short period of time to the #2 position globally for highest total number of cases.
Many South American territories also suffer from weak or corrupted police forces with limited capacity to enforce criminal penalties forviolating lockdown and social distancing mandates, generally lower healthcare eﬃciency and healthcare resources. Furthermore, generaltrend among the lower-scoring regions within South America is governmental prioritization of economic stability over public health andsafety, which also contributes to the generally lower regional safety rankings of many of its constituent territories.
Deep Knowledge Group38

Geographic Distribution of Key Healthcare Parameters
Deep Knowledge Group’s general methodological approach is to utilize reputable public sources of data as the raw input for
speciﬁcally-designed analytical frameworks and methodologies that apply speciﬁc data and parameter categorization and weighting inorder to relevantly and realistically account for importance and impact of different factors, as well as for potential issues with data
unreliability.
As such, while the present special analytical case study utilizes a wide variety of public sources of data, the extent with which they are
utilized, and the degree with with they are weighted in the report’s overall analytical framework, varies in accordance with these
considerations (i.e., with the relative importance and degree of data unavailability or unreliability as determined by Deep Knowledge Groupanalysts).
The following section presents average geography-speciﬁc levels of a number of datapoints and parameters, which serve as a high-levelvisual overview of various relevant positive and negative factors impacting the COVID-19 resiliency or vulnerability of different regions,
including access to basic sanitation facilities, size of elderly population, the prevalence and death rate of speciﬁc diseases such as
diabetes, obesity, endocrine disorders, tuberculosis, and key healthcare parameters such as density of hospital beds and doctors, andhealthcare access and quality index rankings.
In some cases, there are speciﬁc reasons to cautiously doubt the oﬃcial public numbers and records of speciﬁc parameters of speciﬁc
geographic regions, often as a result of the same factors impacting general levels of data unavailability and unreliability associated withparticular geographic territories.
In the following pages, any public numbers that Deep Knowledge Group analysts consider potentially divergent with the real status of theregion, and which therefore should be taken with some degree of caution, have been marked with an asterisk.

Deep Knowledge Group39

Access to Basic Sanitation Facilities% of Total Population

87.7%

96.67%

99.93%
89.17%
84.64%

35.14%
72.19%

84.88%

SourceOur World in data

35.14%
Deep Knowledge Group

96.67%

40

Access to Basic Sanitation Facilities% of Total Population

SourceOur World in data

10%
Deep Knowledge Group

100%

41

Size of Elderly Population by Regions% of Total Population

9.25%

15.46%

11%
5.35%
7.14%

3.34%
7.67%

8.58%

SourceWorld Bank

15.46%
Deep Knowledge Group

3.34%

42

Size of Elderly Population by Regions% of Total Population

SourceWorld Bank

28%
Deep Knowledge Group1%

43

Diabetes Prevalence % of Population Ages 20 to 79
5.98%

6.53%

6.83%
10.97%
10.54%

5.49%
9.80%

8.26%

SourceIndex Mundi

10.97%
Deep Knowledge Group

5.49%

44

Diabetes Prevalence % of Population Ages 20 to 79

SourceIndex Mundi

22.1%
Deep Knowledge Group

1.8%

45

Endocrine Disorders
Death Rate Per 100,000

1.54%

3.47%

6.64%
6.00%
9.62%

12.34%
4.58%

6.27%

SourceWorld Health Rankings

12.34%
Deep Knowledge Group

1.54%

46

Endocrine Disorders
Death Rate Per 100,000

SourceWorld Health Rankings

31.1%
Deep Knowledge Group

0.67%

47

Incidence of Tuberculosis
per 100,000 People

67.41

14.44

28.25
37.7
22.85%

222.04171.5853.58

SourceWorld Bank

222.04
Deep Knowledge Group

14.44

48

Incidence of Tuberculosis
per 100,000 People

SourceWorld Bank

611
Deep Knowledge Group

049

Obesity % of Population Ages 20 to 79
20.31%

24.73%

32.8%
29.03%
23.73%

9.76%
13.35%

32.13%

Source

ProCon32.8%
Deep Knowledge Group

9.76%

50

Obesity % of Population Ages 20 to 79

Source

ProCon55.3%
Deep Knowledge Group

2.1%

51

Hospital Beds per 1,000 People
6.05

4.47

6.57
1.99
2.32

1.28
3.46

2.05

SourceWorld Bank

1.28
Deep Knowledge Group

6.57

52

Hospital Beds per 1,000 People

SourceWorld Bank

0.1
Deep Knowledge Group

14.4

53

Number of Doctors per 1,000 People
3.1

3.39

2.02
1.615
1.70

0.24
1.24

2.04

SourceWorld Bank

0.24
Deep Knowledge Group

3.33

54

Number of Doctors per 1,000 People

SourceWorld Bank

0.1
Deep Knowledge Group

8.2

55

HAQ (The Healthcare Access and Quality Index)
80.02

87.29

88.8
76.32
77.05

55.16
73.44

77.16

SourceEuro PMC

55.16
Deep Knowledge Group

87.01

56

HAQ (The Healthcare Access and Quality Index)

SourceEuro PMC

38.2
Deep Knowledge Group

91.6

57

Tier-Speciﬁc Geographic Distribution
North America

Tier 1

EE and Central Asia

Tier 2

Asia and Paciﬁc

Asia and Paciﬁc

Middle East & North Africa

EuropeMiddle East & North Africa

EuropeSub-Saharan Africa

Tier 3Tier 4

Central America

Asia and Paciﬁc

Asia and Paciﬁc

South America

EuropeEE and Central Asia

Central America
EuropeSub-Saharan Africa

2Middle East &North Africa
North America

North America

2

EE and Central Asia

Middle East & North Africa
Deep Knowledge GroupSouth America

58

Average Ranking Per Regional Tier
Tiers

Rankings

Access to Basic
Sanitation
Facilities (% ofTotal Population)

Endocrine
Size of Elderly
Diabetes
DisordersPopulation (% ofPrevalence(Death Rate Per
Total Population) (% of Population
100,000)
Ages 20 to 79)

Incidence ofTuberculosis(Per 100,000
people)Obesity (% ofPopulation
Ages 20 to 79)

Hospital Beds
(Per 1,000
People)Number ofDoctors(Per 1,000
People)HAQ (The
Healthcare
Access andQuality Index)

Tier 1

96.72

15.10

7.76

4.28

26.94

19.85

4.94

3.02

87.82

Tier 2

96.06

12.85

8.01

3.74

20.35

25.08

3.58

2.69

85.92

Tier 3

87.20

10.18

7.53

4.51

80.45

21.70

3.84

2.42

79.46

Tier 4

55.15

4.84

8.08

9.98

137.70

14.75

2.08

0.87

63.82

Deep Knowledge Group59

COVID-19
Brief Comparative Analysis
100 Regions by Categories(Tier 1, Tier 2, Tier 3)

Deep Knowledge Group60

COVID-19 Ranking of Quarantine Eﬃciency of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

New Zealand

Region153

26

Georgia

Region114

51

EcuadorRegion104

76

Cambodia

Region

Score
93

2

Singapore

145

27

Vatican City

114

52

Estonia

103

77

Slovak Republic

93

3

Switzerland

144

28

Turkey114

53

United Kingdom

103

78

Lebanon92

4

Denmark

137

29

Bahamas

113

54

Italy

103

79

Serbia92

5

Hong Kong

136

30

Cyprus

113

55

Oman

102

80

Argentina

92

6Australia

131

31

Poland113

56

Finland

102

81

Iran

91

7

Germany

131

32

Malta

112

57

Ireland102

82

Indonesia

91

8

Canada

130

33

India

111

58

Spain

102

83

Sweden91

9Vietnam

128

34

Latvia111

59

Bangladesh

102

84

Andorra90

10Israel128

35

Portugal

109

60

Qatar

101

85

Thailand90

11

Norway128

36

Bahrain

109

61

Greenland

101

86

Slovenia

89

12

Netherlands

128

37

Uruguay108

62

Honduras

100

87

Croatia

89

13

Japan

127

38

Philippines

108

63

South Africa

100

88

Laos

89

14

Malaysia

126

39

Monaco

107

64

Chile

99

89

Russia89

15

Hungary

125

40France107

65

Ukraine

99

90

Egypt

89

16

Saudi Arabia

125

41

Gibraltar

107

66

Paraguay

99

91

Belarus88

17

Austria

122

42

Bulgaria

107

67

Belgium

98

92

Azerbaijan

87

18

Kuwait120

43

Romania

106

68

Cayman Islands

98

93

Lithuania

87

19

China

120

44

Mexico10669

Albania

97

94

Panama87

20

United Arab Emirates

120

45

San Marino

106

70

Brazil96

95

Republic of Moldova

84

21

Taiwan119

46

Greece106

71

United States

96

96

Algeria82

22South Korea

118

47

Bosnia and Herzegovina

105

72

Myanmar

95

97

Tunisia79

23

Montenegro

118

48

Czech Republic

105

73

Sri Lanka

95

98

Mongolia

76

24

Iceland

116

49

Luxembourg

104

74

Kazakhstan

94

99

Armenia74

25

Liechtenstein

114

50

Morocco

104

75

Peru

93

100

Jordan72

COVID-19 Ranking of Government Eﬃciency of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

Germany

Region194

26

United Arab Emirates

Region143

51

TurkeyRegion126

76

AndorraRegion

Score
111

2

Israel191

27

Saudi Arabia

143

52

Myanmar126

77

Ecuador110

3Austria

188

28

Latvia142

53

Mongolia

125

78

Vatican City

110

4

Switzerland

188

29

Croatia

142

54

Czech Republic

121

79

Iran

109

5

Japan

184

30

Iceland140

55

Georgia

120

80

Indonesia

1086Australia

181

31

Finland140

56

Republic of Moldova

120

81

Tunisia

107

7

Norway181

32

Liechtenstein

139

57

Ukraine118

82

Belgium

107

8Singapore

176

33

Greece

139

58

Italy

118

83

Kazakhstan

1079South Korea

176

34

Estonia

138

59

Bulgaria

117

84

Morocco107

10

Taiwan

174

35

Malta

137

60

Argentina

116

85

Algeria

107

11

Canada172

36

Uruguay

135

61

Spain

116

86

Lebanon

106

12

China

172

37

Kuwait135

62

San Marino

116

87

Sweden106

13

Hong Kong

166

38

Luxembourg

134

63

South Africa

116

88

Greenland

105

14

Netherlands

158

39

Ireland132

64

Bangladesh

115

89

Armenia

105

15

New Zealand

156

40

India

131

65

Cambodia

114

90

Peru

104

16

Lithuania

154

41

Belarus131

66

Jordan114

91

Bosnia and Herzegovina

104

17

Denmark

153

42

Portugal

131

67

Serbia114

92

Honduras

102

18

Chile

151

43

Romania131

68

Panama113

93

Cayman Islands

102

19

Poland150

44

Malaysia

129

69

Bahamas113

94

United Kingdom

102

20

Qatar

149

45

Mexico129

70

Monaco113

95

Albania

102

21

Vietnam

149

46

Sri Lanka

129

71

Egypt

113

96

Russia100

22

Slovenia

148

47

Bahrain127

72

France113

97

United States

100

23

Hungary

146

48

Oman

127

73

Azerbaijan

113

98

Gibraltar

99

24

Slovak Republic

144

49

Cyprus12674Montenegro

112

99

Brazil99

25

Thailand

144

50

Laos

126

75

Philippines

111

100

Paraguay

98

COVID-19 Monitoring and Detection of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

Singapore

Region145

26

MexicoRegion101

51

EcuadorRegion94

76

Gibraltar

Region

Score
90

2

Israel143

27

San Marino

99

52

Estonia

94

77

Uruguay89

3

United Arab Emirates

143

28

Luxembourg

99

53

Egypt

94

78

Oman

89

4

Japan

142

29

Cyprus98

54

Cayman Islands

94

79

Liechtenstein87

5Germany

138

30

Monaco98

55

Lithuania

93

80

Malta

87

6

Canada133

31Montenegro

98

56

Armenia

93

81

Portugal87

7South Korea

133

32

South Africa

97

57

Turkey93

82

Sri Lanka

87

8Hong Kong

133

33

Philippines

97

58

Italy

93

83

Greece

86

9

China

132

34

Bulgaria

96

59

Jordan93

84

Ireland

86

10

Switzerland

131

35

Spain

96

60

Azerbaijan

93

85

Malaysia

86

11

Denmark

129

36

Sweden96

61

Finland

93

86

United States

86

12

New Zealand

128

37

Romania

95

62

Republic of Moldova

93

87

Belgium

85

13

Netherlands

127

38

Thailand95

63

Honduras

93

88

Tunisia

83

14

Taiwan126

39

Czech Republic

95

64

Chile

92

89

Greenland

82

15

Vietnam124

40

Bangladesh

95

65

Bahrain

92

90

France82

16

Norway122

41

Serbia95

66

Georgia

92

91

Brazil82

17

Hungary

122

42

Slovenia

94

67

Russia92

92

United Kingdom

81

18

Austria122

43

Argentina

94

68

Qatar

92

93

India

80

19

Saudi Arabia

121

44

Cambodia

94

69

Mongolia

92

94

Panama80

20Australia

116

45

Morocco

94

70

Ukraine92

95

Bahamas80

21

Kuwait112

46

Myanmar94

71

Slovak Republic

91

96

Algeria80

22

Iceland

104

47

Andorra

94

72

Laos

91

97

Peru

80

23

Vatican City

103

48

Lebanon

94

73

Indonesia

91

98

Albania80

24

Poland102

49

Bosnia and Herzegovina

94

74

Belarus90

99

Paraguay80

25

Latvia101

50

Croatia

94

75

Kazakhstan

90

100

Iran

79

Ranking of COVID-19 Healthcare Readiness of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

Japan

Region108

26

NorwayRegion80

51

TaiwanRegion

68

76

Romania

Region

Score
60

2

Germany

102

27

Georgia

79

52

Brazil67

77

Cyprus60

3

Switzerland

101

28

Greece79

53

Republic of Moldova

67

78

Slovak Republic

60

4

Finland

97

29

Ukraine77

54

Thailand67

79

Kazakhstan

59

5Austria8930

Gibraltar

77

55

Algeria

67

80

Oman

59

6

Iceland88

31

Ireland

77

56

San Marino

67

81

Poland59

7Singapore

86

32

Bahrain

76

57

Albania

67

82

Jordan56

8Netherlands

8633

Estonia

76

58

Qatar

66

83

Mexico53

9Croatia

86

34

Armenia

76

59

Spain

66

84

Peru

53

10

Israel85

35

Belgium

75

60

Hungary

66

85

Saudi Arabia

52

11South Korea

84

36

New Zealand

75

61

Russia

65

86

Iran

52

12

Luxembourg84

37

Canada75

62

United States

65

87

Bangladesh

50

13Bulgaria

84

38

Kuwait74

63

Mongolia

65

88

Cambodia50

14Lithuania

83

39

Cayman Islands

74

64

Vatican City

64

89

Sri Lanka

49

15

Czech Republic

83

40

Portugal73

65

Vietnam63

90

Paraguay

48

16

Argentina

83

41

Greenland

72

66

Chile

63

91

South Africa

48

17

Serbia8242Montenegro

72

67

Malaysia

63

92

Indonesia

45

18

Slovenia

82

43

France71

68

Turkey63

93Philippines

42

19

Liechtenstein

81

44

Azerbaijan

71

69

Uruguay

62

94

Egypt

42

20

Sweden

81

45

Italy

71

70

Monaco61

95

Honduras

38

21

Australia

81

46

United Arab Emirates

70

71

Tunisia61

96

Morocco

38

22

China

80

47

United Kingdom

70

72

Latvia

61

97

India

36

23

Belarus

80

48

Hong Kong

69

73

Andorra61

98

Myanmar

33

24

Malta

80

49

Lebanon69

74

Panama61

99

Bahamas26

25

Denmark

80

50

Bosnia and Herzegovina

68

75

Ecuador

60

100

Laos

25

COVID-19 Regional Resiliency of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

Saudi Arabia

Region106

26

CyprusRegion86

51

RussiaRegion80

76

BrazilRegion

Score
77

2

Germany

105

27

Vatican City

86

52

Bosnia and Herzegovina

80

77

Panama77

3

United Arab Emirates

102

28

Thailand85

53

Sweden

80

78

Mongolia

76

4Singapore

102

29

Bahrain

85

54

United States

80

79

Gibraltar

75

5Greenland

97

30

Spain

85

55

Italy

80

80

India

75

6

Austria

96

31

Japan

85

56

Czech Republic

80

81

Kazakhstan

75

7

Norway9632South Africa

85

57

Ecuador

80

82

Algeria74

8

New Zealand

94

33

Ireland

85

58

Chile

80

83

China

74

9

Switzerland

93

34

Greece85

59

Monaco80

84

Cayman Islands

74

10

Denmark

92

35

Latvia85

60

Armenia

80

85Belarus73

11

Serbia91

36

Finland

85

61

Portugal

79

86

Vietnam72

12

Canada90

37

Andorra84

62

Romania

79

87

Peru

71

13

Australia

89

38

Croatia

84

63

Uruguay

79

88

Honduras

71

14

Israel89

39

Malaysia

84

64

Netherlands

79

89

Azerbaijan

71

15South Korea

89

40

Philippines

84

65

Bulgaria

78

90

Morocco70

16Montenegro

88

41

Slovak Republic

83

66

Paraguay

78

91

Taiwan

69

17

Egypt

87

42

Belgium

83

67

United Kingdom

78

92

Sri Lanka

69

18

Oman

87

43

Estonia

83

68

Iran

78

93

Myanmar66

19

Iceland

87

44

Kuwait

82

69

Malta

78

94

Republic of Moldova

65

20

Jordan87

45

Lebanon82

70

France77

95

Indonesia

65

21

Slovenia

87

46

Tunisia

82

71

Ukraine

77

96

Laos

64

22

Luxembourg

87

47

Poland82

72

Georgia

77

97

San Marino

62

23

Mexico87

48

Turkey81

73

Hungary

77

98

Bahamas57

24

Liechtenstein

86

49

Qatar

81

74

Hong Kong

77

99

Bangladesh

55

25

Lithuania

86

50

Argentina

81

75

Albania

77

100

Cambodia48

COVID-19 Emergency Preparedness of 100 Countries and Regions
Rank

Score

Rank

Score

Rank

Score

Rank

1

China

Region139

26

Kazakhstan

Region

83

51

Mongolia

Region65

76

AndorraRegion

Score
57

2

United Arab Emirates

121

27

Greenland

80

52

Latvia65

77

Armenia57

3

Hungary

120

28

Norway79

53

Azerbaijan

64

78

Ukraine57

4

Australia

118

29

Denmark

79

54

Liechtenstein

64

79

Bosnia and Herzegovina

56

5

Hong Kong

117

30

Germany

79

55

Poland64

80

Ecuador56

6Israel113

31

Turkey79

56

Monaco64

81

Lebanon56

7

Saudi Arabia

111

32

United Kingdom

79

57

Lithuania

64

82

Egypt

55

8

South Korea

111

33

Spain

78

58

Slovenia

63

83

Republic of Moldova

55

9Taiwan111

34

Malaysia

78

59

Estonia

63

84

Sri Lanka

54

10

Kuwait110

35

France

78

60

Chile

63

85

Albania

54

11

Austria

110

36

Netherlands

74

61

Uruguay

63

86

Jordan53

12

New Zealand

108

37

Gibraltar

70

62

Czech Republic

62

87

Panama53

13

United States

103

38

Italy

69

63

Portugal

62

88

Morocco53

14

Bahrain

102

39

Ireland

69

64

Croatia

62

89

Algeria52

15

Vietnam101

40

Finland68

65

Mexico62

90

Honduras

52

16

Russia100

41

Myanmar

68

66

Belarus61

91

Paraguay52

17

Canada100

42

Sweden68

67

Montenegro

61

92

Peru

51

18

India

99

43

Georgia

67

68

Thailand60

93

Indonesia

51

19

Oman

98

44

Cyprus

67

69

San Marino

60

94

Bahamas

50

20

Iran

96

45

Luxembourg

67

70

Romania

60

95

Cayman Islands

50

21

Switzerland

95

46

South Africa

67

71

Slovak Republic

59

96

Malta

50

22

Singapore

91

47

Iceland

66

72

Bulgaria

59

97

Belgium

49

23

Philippines

91

48

Bangladesh

66

73

Vatican City

59

98

Brazil

49

24

Japan

91

49

Tunisia

66

74

Argentina

58

99

Cambodia

49

25

Qatar

85

50

Greece65

75

Serbia

58

100

Laos

47

COVID-19 Regional
Safety Assessment
Analytical Frameworkand Methodology
Deep Knowledge Group67

COVID-19 Regional Safety Assessment:
Report Scope and Aim
The global challenge of this particular moment in history, which keeps the world's population in constant vigilance and hopeful for an
immediate solution, is not only a medical and scientiﬁc challenge; it is also a political and governmental challenge, an economic and tradechallenge, a reconﬁguration of what national and international security means in practice, and a technological opportunity. And above allthese things, it can be considered as a data science and an analytical challenge. Deep Knowledge Group recognizes that we are facedwith the obligation, not only for ourselves but for society as a whole, to analytically disentangle the different facets of the crisis caused by
the global pandemic of COVID-19, in order to establish optimal risk reduction and conﬂict resolution strategies to accelerate regional
recoveries and the transition to a positive post-pandemic era.
Deep Knowledge Group seeks to utilize equally complex analytical frameworks to derive actionable insights and answers into how
different aspects of the COVID-19 pandemic should be addressed: attending to all available data resources, using them to achieve asystemic approach to the different variables or dimensions that pre-determine it, in such a way that allows decision makers to inﬂuencethese variables in practice and achieve the most positive outcomes in terms of reducing collateral damage and maximizing the likelihoodof optimal post-pandemic national healthcare systems and economies.
These assessments present particular opportunities that the regions included in the present analysis may employ to improve theirperformance and outputs in the short and medium term in the ﬁght against the pandemic, and to establish themselves as solid
economies in the post-pandemic era. In the same way, the study has also allowed us to identify and characterize essential risks andthreats that must be addressed early to avoid further outbreaks, deepening of economic damage and the collapse of healthcare systems.
The ultimate aim of the framework is to analyze and score different regions according to their overall level of stability, both in terms of
optimizing current health and wellness outcomes of their population amid the COVID-19 pandemic, as well as their prospects andlikelihood of enabling geopolitical stabilization and economic recovery in the post-pandemic era.
Deep Knowledge Group68

COVID-19 Regional Safety Assessment:
Brief Methodology Description
Deep Knowledge Group's COVID-19 Regional Safety Assessment is a hybrid index compiled from speciﬁc parameters and indicators
originally formulated as part of the group's Global COVID-19 Safety and Risk Ranking Frameworks, in order to create a new framework
designed to take into account safety and vulnerability factors simultaneously. The analysis uses reputable public sources of data, but
applies speciﬁc weight factors and parameters in order to structure that data in a manner that is relevant and realistic to their proportional
importance and impact on various nation’s success at neutralizing the current COVID-19 pandemic.
Certain metrics used for advanced and qualitative assessment were formulated by Deep Knowledge Group analysts in coordination withspeciﬁc experts and consultants using proprietary sources and techniques. Therefore, such rankings may be adjusted over timedepending on the underlying information and in coordination with ongoing enhancements to our underlying analytical methodologies.
The current global COVID-19 pandemic is a complex system involving more than typical disease tracking and management techniques,affected not just by biology but by the behaviour of individual humans, and the larger-scale actions of companies, institutions andgovernments. It is heavily inﬂuenced by the current healthcare, medical, economic, governance and geopolitical actions, behaviours andsituations of entire nations. Our consortium’s various analytical subsidiaries have extensive experience in conducting Big Data Analytics
for highly complex topics, industries and domains. Now, Deep Knowledge Group has adapted its existing analytical frameworks, previously
applied to the Longevity Industry, AI for Drug Discovery, GovTech and NeuroTech, to conduct analytics, ranking and forecasting on the global
COVID-19 pandemic. From the multiparameter analysis of 200 selected regions and countries, encompassing up to 130 variables, thisstudy has been able to identify, and qualitatively and quantitatively characterize the overall degree of COVID-19 safety, stability andresilience of 200 territories around the globe.

Deep Knowledge Group69

COVID-19 Regional Safety Assessment:
Detailed Methodology Description
The analysis performed in the present report ﬁrst groups all 200
countries and regions into 4 distinct Tiers. Tier 1 consists of the 20
countries and regions that were ranked highest in terms of regionalsafety and stability according to the analytical framework andmethodology utilized in Deep Knowledge group's ﬁrst COVID-19
Regional Safety Assessment, according to all 130 parameters
featured in that report’s analysis.
Following this, a preliminary analysis utilizing a subset of 20
parameters (taken from a subset of the full set of 130 parameters,
and spread across all 6 of the index's constituent categories) was
performed, in combination with a preliminary analysis of data
availability and reputability for each region, in order to select thesubset of parameters that can be reasonably and relevantly applied
given the scope of available data to each distinct Tier. In addition tothis, the regions located in Tier 3 and Tier 4 were also grouped
qualitatively according to several key characteristics. Thus, each
set of regions was ﬁrst allocated to a speciﬁc Tier based on thispreliminary analysis, and then a second-stage analysis using
distinct sets of parameters was performed on each tier in order torank them amongst each other.
Deep Knowledge Group

Tier 1
Tier 1130 Parameters
130 Parameters
Tier 2 and 3
60 Parameters
Tier 440 Parameters

70

COVID-19 Regional Safety Index:
Analytical Framework
The framework comprises 6 top-level categories (QuarantineEﬃciency, Government Eﬃciency of Risk Management, Monitoringand Detection, Health Readiness, Regional Resilience and Emergency
Preparedness).
Each category consists of a matrix of sub-parameters (referred tohere as Indicators), which relate to speciﬁc factors of importance
impacting the stability of current regional circumstances, of theeffectiveness of various regions’ emergency response efforts, andthese variables will also address post-pandemic planning measuresin future studies.
Finally, each indicator itself consists of a matrix of 2-10 quantitativeor qualitative sub-parameters, relating to the speciﬁc topic, analyticalfocus and end-point of their parent indicator. Quantitative parameters
are numeric, and are obtained from a variety of reputable, publicly
available sources of data. Qualitative parameters are binary, andregions are assigned either a 1 or a 0, which represent an answer to a
speciﬁc yes/no question.

Deep Knowledge Group

6
Categories

30
Indicators

130
Parameters

71

COVID-19 Regional Safety Index: Analytical
Approach Behind the 4-Tiered Ranking System
Tier 1 consists of 20 regions with exceptionally high level sof regional safety, as
determined by the full application of all 130 parameters across all 6 Regional Safety Index
Categories.
Tier 2 consists of 20 regions that scored comparatively well in terms of regional safetyaccording to the phase-1 analysis using 20 parameters, but not as well as those in Tier 1.
After being located in Tier 2, they were ranked amongst each other using a subset of 60
parameters.
Tier 3 consists of 60 regions that scored much less favourably during the ﬁrst-phaseanalysis that would be expected considering their general pre-pandemic levels of
Quarantine Eﬃciency, Government Eﬃciency of Risk Management, Monitoring and
Detection Eﬃciency, Health Readiness, Regional Resilience and Emergency
Preparedness).
Tier 4 consists of 100 regions that scored least favourably during the ﬁrst-phase analysis,
and which suffer from high levels of data unavailability or unreliability. After being placedin Tier 4, they were ranked amongst each other using a subset of 40 parameters (due todata availability issues which prevented a more comprehensive analysis).

Tier 1130 Parameters
Tier 1130 Parameters

Tier 260 Parameters

Tier 360 Parameters

Tier 440 Parameters

The aim of this approach is to conduct as comprehensive analysis an analysis as
possible considering each region’s unique levels of data availability and reliability.
Deep Knowledge Group72

COVID-19 Regional Safety Index: Data Sources
Data collection is an essential stage of the research. Accurate data collection is essential to maintaining the integrity of research. To
answer relevant questions of the working paper and evaluate outcomes, data used for this analysis was collected from credible sources.

World Health Organization

OECD Data

World Bank Open Data

Government Reports

Peer-Reviewed Scientiﬁc Publications

Worldometers

E-Government Development Index

Human Development Index

UNdataCorruption Perceptions Index

IndexMundi

Our World in Data

TheWorld
Economist
Population
Intelligence
ReviewUnit

TheGlobalEconomy.com

EuropePMC

The Lancet

The Economist
GHS Intelligence
Index
Unit

WORLD LIFE EXPECTANCYThe Economist
WCRF International
Intelligence Unit

ProCon.org

Deep Knowledge Group73

COVID-19 Regional Safety Index: Data Accuracy Review
The index utilizes a combination of publicly available databases(including but not limited to indexes and region statistics), as well as
manually-curated and researched quantitative and qualitative dataobtained by manual searches using search engines, media andgovernmental reports, and the use of expert opinions andconsultations in cases where data was not available.
In utilizing three qualitatively distinct sources of data, Deep
Knowledge Group analysts have attempted to overcome barriers in
conducting a robust and comprehensive, yet reliable andmethodologically-rigorous analysis by utilizing the largest and most
reputable databases (usually constructed by an unbiased
international group or foundation) where possible, by consulting
region-speciﬁc resources in cases when open-source international
databases are not possible, and ﬁnally by utilizing expert opinion in allcases where publicly-accessible regional and/or international sourcesof data are unavailable.

Indexes

Open Sources

Expert Consultation

By utilizing this approach, the present analysis attempts to ﬁnd an
optimal balance between using maximally transparent and reliable
sources of data, and including data which are only obtainable fromexpert consultation.

Deep Knowledge Group74

COVID-19 Regional Safety Index:
Data Modeling and Calculations
Each parameter in all three layers of the framework (categories, indicators and parameters) is assigned a speciﬁc weight, or importancefactor, designed to approximate the relative importance of each parameter or parameter-matrix on the effectiveness of a region's current
situation, emergency response efforts or post-pandemic preventive measures as it relates to the speciﬁc analytical focus and endpoint of
its parent group (indicator or category).
While the index takes into account both positive and negative factors impacting a given region’s current or future (post-pandemic)stability, each binary question is constructed in such a way that a higher value is associated with more favorable conditions.
Thus, for example, a higher score in an indicator or parameter within top-level categories focused on risk (such as region vulnerability)
indicates less vulnerability, rather than higher vulnerability, than a lower score within the same category, indicator or parameter.
Deep Knowledge Group analysts ﬁrst worked to formulate the speciﬁc list of parameters (categories, indicators and parameters), and toassign relevant parameter weights (importance factors) and then gathered data from government and academic publications; andwebsites of government authorities, international organizations, non-governmental organizations, and local and international news andmedia reports in order to compute the score for each parameter.
The research process proved challenging, both because of the diﬃculty in sourcing data and oﬃcial information related each quantitativeand qualitative parameter and, in some cases, because of a lack of publicly available information.

Deep Knowledge Group75

COVID-19 Regional Safety Index:
Data Modeling and Calculations
Modeling the parameters, indicators, and categories in the COVID-19 Regional Safety Index results in overall scores of 0–100 for eachregion, in which 100 represents the most favorable conditions possible and 0 the least favorable (with respect to the topical focus of eachparameter).
A score of 100 in the Index does not indicate that a region has perfect regional stability conditions, and a score of 0 does not mean that a
region has no regional stability at all. Instead, scores of 100 and 0 represent the highest or lowest possible scores, respectively, as
measured by the Index criteria.
1.
2.
3.

The values of each parameter are averaged to determine the value of their parent indicator: indicator score = average of weighted
individual parameters
Then, the indicator score is multiplied by the weight of the indicator, and is normalized (multiplied by 100) in order to allow for a
ﬁnal category value to be made by summing the individual values of all normalized indicators in each category.
Finally, the aggregate value of each category (consisting of the sum of indicators) is multiplied by the weight of the category. The
ﬁnal cumulative index score for each region is the obtained by summing the individual category weights. Thus, the category values
consist of a weighted total of the indicator values within each category: category score = ∑ weighted individual indicators

The category values have been normalized on the basis of the following equation: x = (x – Min(x))/(Max(x) – Min(x)), where Min(x) andMax(x) are the lowest and highest values, respectively, in the COVID-19 Regional Safety Index (of the 20 regions) for any given indicator.
The normalized value (i.e., a score of 0–100) makes it directly comparable with other normalized indicator scores.

Deep Knowledge Group76

COVID-19 Regional Safety Index:
Principal Component Analysis
Principal components analysis (PCA) is a data science technique used to quantitatively deﬁne the way that indicator weights are assigned
in order to create a “composite index” (a ranking based on a weighted sum of speciﬁc indicators).
PCA allows us to remove redundant information that are shared among two or more indicators by creating a weighting that accounts forthe greatest amount of variance in the data.
The PCA weights that have been used to create Deep Knowledge Group’s COVID-19 Regional Stability Ranking are provided in order toprovide further depth into the model’s construction.
However, they should be considered as complementary tools, and not as supplemental weights to override the default weights assigned
to indicators, parameters and categories, or as a direct means of understanding the regional index scores themselves, because they do
not consider the “impact factor” or signiﬁcance-based weights used in the model.
PCA gives a weight to each component in an the index which takes into account covariance between indicators, and the degree withwhich a particular component (parameter, indicator or category) maximizes the variation among scores in the index.
In essence, it is a method used to minimize redundancy between variables and maximize variation as it pertains to the actual ﬁnal index
scores.
In simpliﬁed terms, it minimizes the importance or impact of redundant factors shared among variables and maximizes the importance of
impact of non-redundant factors that contribute signiﬁcantly to the ﬁnal output of the index (the regional scores).
Deep Knowledge Group77

Principal Component Analysis
Each PCA weight is calculated by taking the principal component (known as the eigenvector) associated with the highest explained
variance (known as the eigenvalue), which constitutes a method of decomposing data into independent components ordered byinformational content. Valid PCA makes several important assumptions.
These include (1) the assumption that variance is meaningful and not the result of signiﬁcant measurement errors in the data itself, and(2) that the assumption that that the dynamic in question are along the direction with the largest variance.
Single-stage PCA analysis solves for the weights maximize variance across all variables, irrespective of which top-level category they
belong to. The following steps are followed:● Perform PCA analysis on all indicators, ignoring the category they belong to.
● Use the principal component associated with the highest eigenvalue.
● Set negative components to zero.
● Normalize indicator weights (such that the sum of weights is equal to 1).
● Normalize the category weights (such that the sum of categories is equal to 1).
● Use the sum of the non-normalized parameter weights and assign this as the indicator weight for that category.
● Renormalize top-level indicator weights across indicators so that those also sum to 1.
Variation within indicator weights is a sign that redundancy is occurring in the elements or that some elements are not as relevant in
explaining the variation in the overall index once all the other variables are considered.
Finding equal weights across indicators is a sign of very little redundancy across subgroups and similar relevance in explaining variationin the COVID-19 Regional Safety Index, which suggests that the Index has been divided into subgroups appropriately.
Deep Knowledge Group78

COVID-19 Regional Safety Assessment
Analytical Framework
QuarantineEﬃciency
Infection
Risk

Government Eﬃciency of Risk Management

Scale of Quarantine

Quarantine Timeline

Level of Security and Defense Advancement

Rapid Emergency Mobilization

Criminal Penalties for Violating Quarantine

Economic Support for Quarantined Citizens

Eﬃciency of Government Structure

Economic Sustainability

Economic Supply Chain Freezing

Travel Restrictions

Pandemic Readiness

Legislative Eﬃciency

Monitoring and Detection

Healthcare Readiness

Monitoring Systems & Disaster
Management

Scope of Diagnostic Methods

COVID-19 Equipment Availability

Mobilization of New Healthcare Resources

Testing Eﬃciency

AI for Diagnostics and Prognostics

Quantity and Quality of Medical Staff

Level of Healthcare ProgressivenessGovernment Surveillance Technology for
Monitoring

Reliability and Transparency of Data

Level of Technological Advancement

Epidemiology System Level of Development

Regional Resiliency
Infection Spread Risk

Culture Speciﬁcs and Societal Discipline

Level of Modern Sanitization Methods

Demography

Chronic Diseases

Geopolitical Vulnerability

Deep Knowledge Group

Emergency Preparedness
Societal Emergency Resilience

Emergency Military Mobilization Experience

Surveillance Capabilities

Previous National Emergency Experience

79

COVID-19 Quarantine Eﬃciency
Infection Risk

Scale of Quarantine
Scale of Quarantine

Quarantine Timeline
Timeline
Quarantine

This indicator quantiﬁes the current scale of a region’s quarantine
Large Numberof Highly-Condensed
Areas
Scale
of Quarantine
measures, including both the total size and the geographicaldistribution of quarantine efforts. Different weightings are given for
full-scale quarantine vs. mandatory social distancing measures.

This indicator qualiﬁes how early (with respect to the overall timeline of
infection spread) HighthatQuarantine
aLevelregionof
implements
quarantine and social
TouristFlow
Timeline
distancing measures, with respect to the total number of cases present
and the geographical distribution of infection at the time of
implementing quarantine and social distancing measures.

Criminal Penalties for Violating Quarantine
Criminal Penalties for Violating Quarantine
High Quantityof SeasonalandIllegalThis indicator
quantiﬁes
andqualiﬁes
the Staff
presenceandseverity of a
Criminal
Penalties
for Violating
Quarantine
region’s criminal penalties forviolating imposed quarantine and social
Immigrants
distancing measures. regions that police such violations are generally
better equipped to limit infection spread.

Economic Supply Chain Freezing
Economic Supply Chain Freezing
ThisLow
indicator
quantiﬁes
extentandof governments’
to “freeze”
Economic
Supply efforts
Quantityof theProtective
Equipment
Inventory
economic and supply-chain activity, which allows for nationwide
Chain Freezing
lockdowns to occur in practice, and in a way that is believed tominimize eventual negative economic repercussions of the pandemic.

Deep Knowledge Group

Economic Support for Quarantined Citizens
Economic Support for Quarantined Citizens
This indicatorqualiﬁes
and quantiﬁes
the level of economic
Economic
Supportfor Quarantined
Citizenssupport
DensityofNetworks
providedHighby governments
to Transportation
citizens under stay-at-homeor lockdownorders. Economic support provides citizens with the capacity to stay athome in practice.

Travel Restrictions
Travel Restrictions
Large Quantity of Total
This indicator quantiﬁes the scale of regions’ travel restrictions on bothand New
Cases
citizens and tourists inTravel
order
toRestrictions
minimize
infection spread. Different
weightings are given for domestic and international travel restrictions.

80

COVID-19 Government Eﬃciency of Risk Management
Infection Risk

Level of Security and Defense Advancement
Scale of Quarantine
This indicator quantiﬁes the current scale of a region’s military security
Large Numberof Highly-Condensed
Areas
Scale
of Quarantine
and defense capabilities (taking into account both national security andreserve capacities for neutralizing potential external geopoliticalthreats).

Eﬃciency of Government Structure
Criminal Penalties for Violating Quarantine
This indicatormeasures ofvariousnations’
capacity
for rapid andHigh Quantity
Seasonal
Staff
and Illegal
Criminal
Penalties
for
Violating
Quarantine
effective
governanceto provide
insightonwhichregionshave theImmigrants

greatest risk of dealing with the COVID-19 pandemic (and its potential
economic, societal and geopolitical consequences) in a non-optimal
manner.

Pandemic ReadinessEconomic Supply Chain Freezing
ThisLow
indicator
quantiﬁes
a region’s
levelof preparedness
in rapidly
EconomicandSupplyQuantityof Protective
Equipment
Inventory
mobilizing nation-wide emergency response measures in response to
Chain Freezing
pandemics across legal, economic and social efforts to minimize apandemic’s negative effects on their citizens health and their economy.

Deep Knowledge Group

Rapid Emergency Mobilization
Quarantine Timeline
This indicator serves
qualiﬁes
theof
robustnessofa region’s capacity to
High
Level
TouristFlow
Quarantine
Timeline

mobilize emergency response measures in the face of national
emergencies, including pandemics.

Economic Sustainability
Economic Support for Quarantined Citizens
This indicator qualiﬁes and quantiﬁes the overall level of the region’s
Economic
Supportfor Quarantined
Citizens
economic
stability
andsustainability(taking into Networks
account
not just theHigh
Densityof Transportation
current state of economy, but also the growth rate of its debt and its
capacity to remain economically sustainable in a post-pandemic era).

Legislative Eﬃciency
Travel Restrictions
Large Quantity of Total
This indicator quantiﬁes the ﬂexibility and comprehensiveness of theTravelRestrictions
and New
region’s legislative infrastructureandCasesresources for rapidly deploying
emergency response legislation on a nation-wide scale.

81

COVID-19 Monitoring and Detection
Infection Risk

Monitoring Systems and Disaster Management
Scale of Quarantine

Scope of Diagnostic Methods
Quarantine Timeline

This indicator quantiﬁes how advanced and sophisticated a region’s
Large Numberof Highly-Condensed
Areas
Scale
of Quarantine
surveillance and monitoring technologies are, including both the depth
and breadth of technologies (the diversity of surveillance andmonitoring technologies, and their general level of sophistication).

This indicator qualiﬁes
thescope,ofbreadthandFlow
diversity of the speciﬁc
High
Level
TouristQuarantine
Timelinediagnostic techniques in standard use in a region, assuming a
relationship between the diversity and effectiveness of diagnostic
techniques.

Testing Eﬃciency
Criminal Penalties for Violating Quarantine
The indicator
average testing
considering
High quantiﬁes
Quantityregions’of SeasonalStaffeﬃciency,
and Illegal
Criminal
Penalties
for from
Violating
Quarantine
both theaverage timeto getImmigrants
results
an administered
test, and the

AI for Diagnostics and Prognostics
Economic Support for Quarantined Citizens

average test backlog based on available lab analysis personnel.

Government Surveillance Technology for Monitoring
Economic Supply Chain Freezing
ThisLow
indicator
quantiﬁes
how advanced
and widespreada region’s
EconomicandEquipment
SupplyQuantityof Protective
Inventory
surveillance and monitoring activities are. Widespread monitoring gives
Chain Freezing
governments greater capacity to track infection rates and compliancewith quarantine and social distancing measures.

Deep Knowledge GroupThe indicator qualiﬁes whether the use of AI and data-driven
Economic
SupportforareQuarantined
Citizens
techniques
for Density
diagnostic
analysisin widespreaduse in a region.
HighofTransportation
Networks
Such techniques lower the burden on resources and personnel
dedicated to analyzing the results of COVID tests and patient
prognosis.

Reliability and Transparency of Data
Travel Restrictions
Large Quantity of Total
This indicator qualiﬁes the reliability and transparency of a region’s
TravelRestrictions
and New
Cases
reported infection, hospitalizationand mortality statistics. Manyregions appear to be manipulating their data to obscure the true level of
infection, hospitalization and mortality.

82

COVID-19 Healthcare Readiness
Infection Risk

COVID-19 Equipment Availability
Scale of Quarantine

Mobilization of New Healthcare Resources
Quarantine Timeline

This indicator quantiﬁes the size (total and per capita) of emergency
Large Numberof Highly-Condensed
Areas
Scale
of Quarantine
equipment stockpiles (i.e., medical supplies and emergency treatment
supplies used to treat COVID-19 patients in hospital.

This indicator takes
intoaccount
preparedness
High
Level aofregion’s
TouristFlow for mobilizing
Quarantine
Timeline
additional healthcare resources (supplies, equipment, treatments andpersonnel) beyond their current capacity, taking into account existing
guidelines and policies for emergency healthcare mobilization.

Quantity and Quality of Medical Staff
Criminal Penalties for Violating Quarantine
High Quantity
Seasonal
Staffofand
IllegalThis indicator
takes
into ofaccount
quantity
medicalstaff andCriminal
Penalties
fortheViolating
Quarantine
healthcare workers (doctors,
nurses, administrative staff, etc.) in the
Immigrants

Level of Healthcare ProgressivenessEconomic Support for Quarantined Citizens

region andexpertise.

the average level of medical doctors’ education andLevel of Technological Advancement
Economic Supply Chain Freezing
ThisLow
indicator
ranks regions
accordingtoEquipment
their healthcare
system’s level
EconomicandSupplyQuantityof Protective
Inventoryof technological sophistication, modernization and effectiveness in
Chain Freezing
comparison to other regions.

Deep Knowledge Group

This indicator
providesa measureof the generallevel of a
Economic
Supportfor Quarantined
Citizens
Highadvancement
Density
ofand
Transportation
Networks
technologicalprogressiveness ofa region’s medical
science and healthcare infrastructure, and serves as an approximationof the overall quality of medical treatment in that region.

Epidemiology System Level of Development
Travel Restrictions
Large Quantity of Total
This indicator ranks the epidemiology system of a region (including
TravelRestrictions
and
New
Cases
both epidemiologists andepidemiologicalresources, companies, etc),
in terms both of quantity and regional distribution, as well as in termsof technological sophistication.

83

COVID-19 Regional Resiliency
Infection Risk

Infection Spread Risk
Scale of Quarantine

Culture Speciﬁcs
and Timeline
Societal Discipline
Quarantine

This indicator quantiﬁes nations’ overall spread infection risk, and isLarge Numberof Highly-Condensed
Areas
Scale
of Quarantine
used in order to provide information on which citizens of which regions
have the highest and lowest overall risk of getting infected with
COVID-19.

This indicator qualiﬁes regions according to their culture-speciﬁc
High
Level
TouristQuarantine
Timeline
practices and traditions,
as itofrelates
to Flow
health, wellness andsanitization, as well as general societal discipline. Populations whichgive less care and attention to health and sanitization are at greater riskof infection.

Level of Modern Sanitation Methods
Criminal Penalties for Violating Quarantine
High Quantityof Seasonaland Illegal
This indicatorranksregions
accordingto Staffthe presence(or absence)
Criminal
Penalties
for Violating
Quarantine
and degree of modernizationImmigrantsof their sanitization systems. regions with

Demography
Economic Support for Quarantined Citizens

poor sanitation systems, or those who lack them entirely, are at a muchhigher risk of infection spread.

Chronic Diseases
Economic Supply Chain FreezingThis indicator quantiﬁes
regions’ level
ofSupplygeographic risk in terms ofandEquipment
Low QuantityEconomicof Protective
Inventory
several variables including proximity to regions with a high level of
Chain
Freezing
infection, number of border crossings with neighboring regions, numberof infection hot-spots, and number and distribution of population-denseareas.
Deep Knowledge Group

This indicator
quantiﬁes
the population
size and demographics
Economic
Supportfor Quarantined
Citizens (age,Densityof Transportation
sex, andHighproportionof populations
with speciﬁc Networks
diseases) of a given
region with respect to demographics most vulnerable to infection andnegative patient outcomes.

Geopolitical Vulnerability
Travel Restrictions
Large
ofofTotal
This indicator qualiﬁes
the Quantity
current state
the region’s geopoliticalstability, taking into accounteconomic
and military strength of theTravelRestrictions
andtheNew
Cases

region's allies and rivals, assuming an association between highgeopolitical stability and lower risk of attack by military rivals andresulting socioeconomic instability.
84

COVID-19 Emergency
Preparedness
Infection Risk
Societal Emergency Resilience

Emergency Military Mobilization Experience

This indicator approximates the overall level of societal
resilience,experience withnational
Largepreparedness
Numberof Highly-Condensed
Areas
Scale
ofand
Quarantine
emergencies, incorporating practical historical experience,
psychological, cultural and religious practices and attitudes, etc.

This indicator approximates the region’s practical historicalexperience with mobilizing their military in order to help dealHigh
Level of Tourist
Flow
Quarantine
Timelinewithnational
emergencies(bothgeopoliticalandnon-geopolitical emergencies), as well as the overall domestic
military resources available.

Surveillance Capabilities (Scale, Scope
Criminal Penalties for Violating Quarantine
and Technological Sophistication)

Previous National Emergency Experience
Economic Support for Quarantined Citizens

High Quantityof Seasonal
Staff
This indicator
approximatesscopeandand Illegal
technological
Criminal
Penalties thefor scale,
Violating
Quarantine
sophistication of the Immigrants
region’s government surveillancecapabilities.

This indicator approximates the region’s practical historical
Economic
Supportfor Quarantined
Citizens
HighwithDensityof Transportation
Networks
experience
national
emergencies, accounting
for bothgeopolitical and non-geopolitical emergencies, with a focus on
preparation policies and government-led emergency relief
efforts.

Deep Knowledge Group85

COVID-19 Regional Safety Index:
Tier-1 Methodology Framework
Tier 1 consists of the 20 regions that were ranked highest in terms of regional safety and stability according to the analytical frameworkand methodology utilized in Deep Knowledge group's ﬁrst COVID-19 Regional Safety Assessment, according to all 130 parameters
featured in that report’s analysis. The 130 parameters developed for use in that report make up Deep Knowledge Group’s COVID-19
Regional Safety Index, which itself is a hybrid index developed by expanding speciﬁc parameters and indicators originally formulated aspart of the group's Global COVID-19 Safety and Risk Ranking Frameworks, in order to create a new framework designed to take into
account safety and vulnerability factors simultaneously.
The pool of the 20 selected regions included in Tier 1 is made up of Switzerland, Germany, Israel, Singapore, China, Japan, Austria,
Australia, New Zealand, Canada, South Korea, United Arab Emirates, Norway, Hong Kong, Denmark, Saudi Arabia, Hungary, Netherlands,
Taiwan and Vietnam, and more than 130 qualitative and quantitative parametric variables have been developed, tuned, and grouped into 6
broad and top-level categories in order to determine the regional safety rankings of Tier 1 regions.
Nearly half of the regions positioned in Tier 1 are within Asia Paciﬁc (and the overwhelming majority of those within Asia), with 35% being
located in Europe, 15% in Middle East and Africa, and just one region (Canada) within North America. The predominance of Asian regions
in Tier 1 can be partially explained by the fact that Asia is much later in the overall pandemic timeline, having faced COVID-19 earlier thanothers, and the factors which sets apart Asian regions in Tier 1 rather than Tiers 2 or 3, for example, can provide tangible insights into
what strategies seem to have worked, and which ones have not. In addition to this, we also ﬁnd a greater emphasis on government
eﬃciency and a strong degree of coordination and integration of government-led action across many departments, more stringent andlonger-lasting lock-down measures, a greater emphasis on monitoring and detection and generally more widespread testing than otherparts of the world.
Deep Knowledge Group86

COVID-19 Regional Safety Index: Tier 1 Parameters
1

COVID-19 Quarantine Efficiency

1.1

Scale of Quarantine

1.1.1 Population Density
1.1.2

Does the region have dedicated military chemical and biological warfare divisions
and forces?

People per km2
yes=1, no=0

1.1.3 Does the region have “hotspots” (high density of cases in one specific area)?

yes=0, no=1

1.1.4 Number of cases.

per million individuals

1.1.5 Scale and scope of region-wide lockdown

full = 1, partial = 0.5 non-existing = 0

1.1.6

Does the region’s federal government have legislative authority over the entire
territory?

yes=0, no=1

1.1.7

Does the region possess culture and religion-specific behaviours that preclude
enforcement of mandatory quarantine measures?

yes=0, no=1

1.2

Quarantine Timeline

1.2.1 What is the length of quarantine?

14 days = 0.5, more than 14 = 1, noquarantine length = 0

1.2.2 Did the region impose quarantine measures early in the timeline of viral spread?

yes=1, no=0

1.2.3 Was quarantine easing officially declared?

yes=0, no=1

1.2.4 Did the population exert public pressure to ease quarantine measures?

yes=0, no=1

1.3

Criminal Penalties for Violating Quarantine

1.3.1 Quantity of law enforcement officers.
Deep Knowledge Group

number per capita
87

COVID-19 Regional Safety Index: Tier-1 Parameters
1.3.2

Did the region use volunteers to monitor quarantine compliance?

yes=1, no=0

1.3.3

Criminal penalties for violating quarantine.

Number of months in incarceration.

1.3.4

Fines

In USD

1.3.5

Did the region use military personnel to assist law-enforcement officers?

yes=1, no=0

1.4

Economic Support for Quarantined Citizens

1.4.1

Economic support to citizens

in USD

1.4.2

Economic support to SMEs

in USD

1.4.3

Tax reliefs

in USD

1.4.4

Economic rescue package% of GDP

1.5

Economic and Supply Chain Freezing

1.5.1

Export-oriented region?

yes=0, no=1

1.5.2

Does the region have an absence of large supply shortages?

yes=0, no=1

1.5.3

Are the region’s border-crossing routes open?

yes=0, no=1

1.5.4

Does the region have a high availability of food?

yes=1, no=0

1.5.5

Are there any shortages in protective equipment?

yes=0, no=1

1.6

Travel Restrictions

1.6.1

Quantity of automotive vehicles.

number per 1000 people

1.6.2

Did the region allow for direct flights to Italy or China in February - March 2020?

yes=0, no=1

1.6.3

Average level of touristic flow.

number of tourists per year

Deep Knowledge Group88

COVID-19 Regional Safety Index: Tier-1 Parameters
2

COVID-19 Government Efficiency of Risk Management

2.1

Level of Security and Defense Advancement

Does the region’s military have dedicated laboratories for protection against
2.1.1 chemical and biological warfare?

yes=1, no=0

Does the region’s military have pre-existing plans and policies in place in the event
2.1.2 of a biological or chemical attack?

yes=1, no=0

2.2

Level of GovTech Development

2.2.1 Does the region have COVID-specific training courses for doctors and nurses?

yes=1, no=0

2.2.2 Rural population% of total population

2.2.3 Local vaccine development (attempts).

yes=1, no=0

2.3

The Efficiency of Government Structure

Did the region’s government develop a specific emergency response mechanism for
yes=1, no=0
2.3.1 engagement with the private sector?
2.3.2 Are there government-startups cooperation?

yes=1, no=0

2.3.3 Government effectiveness (EIU score).

EIU Score

2.3.4 E-Government Development Index

EGDI score

2.3.5 Number of internet users per 1000 individuals.

number per 1000 people

2.3.6 Smartphone penetration.

% of population

2.3.7 Does the region utilize Electronic Health Records?

yes=1, no=0

Deep Knowledge Group89

COVID-19 Regional Safety Index: Tier-1 Parameters
2.3.8

Regional Corruption Index Score.

2.4

Economic Sustainability

2.4.1

Regional economic debt.

% of GDP

2.4.3

GDP index.

GDP index score

2.4.4

GNI index.

GNI index score

2.4.5

Minimum wages.

in USD

2.4.6

Unemployment rate due to COVID19.

% of population

2.4.7

Exit strategy plan.

yes=1, no=0

2.5

Legislative Efficiency

2.5.1

Does the region’s government have a pre-existing Action Plan for rapid resource
mobilization in the event of a national emergency?

yes=1, no=0

2.5.2

Legislations and regulations for the cross-border screening of pathogens, toxic,
pandemic potential pathogens.

yes=1, no=0

2.5.3

Legislative availability for disaster mobilization.

yes=1, no=0

2.5.4

State capability to adopt new surveillance laws.

yes=1, no=0

2.6

Political Stability

2.6.1

State of emergency readiness

yes=1, no=0

2.6.2

Functioning of Government (Index)

HDI Index

2.6.3

Civil Liberties (Index)

HDI Index

Deep Knowledge Group

Index

90

COVID-19 Regional Safety Index: Tier-1 Parameters
3

COVID-19 Monitoring and Detection

3.1

Monitoring Systems & Disaster Management

3.1.1 Does the region’s government use event-based surveillance for infection disease?

yes=1, no=0

Does the region’s government share its surveillance data with the neighboring
3.1.2 regions?

yes=1, no=0

Does the region’s government have an existing Action Plan in place for the
3.1.3 surveillance and detection of viral outbreaks and disease?

yes=1, no=0

3.2

Scope of Diagnostic Methods

3.2.1 Does the region have validated laboratory testing methods available?

yes=1, no=0

3.2.2 Does the region have laboratories with molecular diagnostic capacity available?

yes=1, no=0

3.2.3 Does the region use online diagnostic tools?

yes=1, no=0

3.3

Testing Efficiency

3.3.1 Number of COVID-19 tests conducted per day.

Numeric

3.3.2 Are mobile diagnostic stations available for use in the region?

yes=1, no=0

3.3.3 Does the region have a significant shortage of COVID-19 tests?

yes=0, no=1

3.3.4 Does the region use local production of COVID-19 tests?

yes=1, no=0

3.3.5 Does the region have national laboratories available for COVID-19 testing?

yes=1, no=0

3.4

AI for Diagnostics and Prognostics

3.4.1 Are there AI/ML healthcare initiatives related to COVID-19?
Deep Knowledge Group

yes=1, no=0
91

COVID-19 Regional Safety Index: Tier-1 Parameters
3.4.2 Are there AI startups that create solutions to fight Covid-19?

yes=1, no=0

3.4.3 Does the region employ AI technologies and techniques in hospitals?

yes=1, no=0

3.5

Government Surveillance Technology for Monitoring

3.5.1 Per capita quantity of surveillance cameras.

per 1000 people / approximate

Does the region’s government routinely use face-recognition technology for3.5.2 surveillance?

yes=1, no=0

Does the region’s government use mobile tracking (tracking of population’s mobile
3.5.3 phones) in its surveillance practices?

yes=1, no=0

3.5.4 Does the region’s government utilize other AI-based surveillance methods?

yes=1, no=0

3.6

Reliability and Transparency of Data

3.6.1 Does the region have a publically-available National Plan for COVID-19?

yes=1, no=0

Does the region’s governments conduct daily briefings on the current status of the
3.6.2 pandemic?

yes=1, no=0

Does the region have an established agency or Action Group responsible for3.6.3 COVID-19 prevention and treatment?

yes=1, no=0

3.6.4 Does the region conduct centralized collection of COVID-19 data?

yes=1, no=0

Does the Ministry of Health provide data on confirmed COVID-19 cases among
3.6.5 healthcare workers?

yes=1, no=0

Does the Ministry of Health provide data on confirmed COVID-19 cases, critical
3.6.6 cases and deaths on a daily basis?

yes=1, no=0

Deep Knowledge Group92

COVID-19 Regional Safety Index: Tier-1 Parameters
4

COVID-19 Healthcare Readiness

4.1

COVID 19 Equipment Availability

4.1.1 Quantity of Ventilator Stockpile.

Numeric

4.1.2 Number of hospital beds

per 1000 people

4.1.3 Does the region have sufficient availability of PPE (masks and gloves)?

yes=1, no=0

4.1.4 Does the region have sufficient availability of face shields?

yes=1, no=0

4.2

Mobilization of New Healthcare Resources

Did the government request that medical students assist in COVID-19 patient
4.2.1 treatment?

yes=1, no=0

Does the region have the necessity and ability to build additional hospitals for4.2.2 COVID-19 treatment?

yes=0, no=1

Did the region use military mobile stations for chemical and bacteriological
4.2.3 cleaning?

yes=1, no=0

4.2.4 Does the region have the necessary infrastructure for surplus ventilator production? yes=1, no=0
4.2.5 Does the region have the necessary infrastructure for surplus mask production?

yes=1, no=0

Does the region have the necessary infrastructure for the production of other
4.2.6 surplus PPE?

yes=1, no=0

4.3

Quantity and Quality of Medical Staff

4.3.1 Number of doctors.

Deep Knowledge Groupper 1000 people

93

COVID-19 Regional Safety Index: Tier-1 Parameters
4.3.2 Number of nurses.

per 1000 people

Does the region have epidemiology faculty at the majority of their medical
4.3.3 universities?

yes=1, no=0

Are epidemiology classes available for medical students not specializing in
4.3.4 epidemiology?

yes=1, no=0

4.4

Level of Healthcare Progressiveness4.4.1 Does the region have evidence of recent healthcare advancements?

yes=1, no=0

4.4.2 Healthcare Development Index score.

Index

4.4.3 Current health expenditure per capita.

in USD4.4.4 Current health expenditure.

as % of GDP

4.4.5 HAQ (The Healthcare Access and Quality Index) - 2016.

Index

4.4.6 Pharmaceuticals spending per capita.

in USD

4.5

Level of Technological Advancement

4.5.1 MRI number.

per million people

4.5.2 Quantity of ICU-CCB beds.

per 100,000 people

4.6

Epidemiology System Level of Development

4.6.1 Global Health Security Index

Deep Knowledge GroupGHS index score

94

COVID-19 Regional Safety Index: Tier-1 Parameters
5

COVID-19 Region Vulnerability

5.1

Infection Spread Risk

5.1.1 Container port traffic.

TEU: 20 foot equivalent units

5.1.2 Average number of international arrivals (incoming tourists) per year.

Number per year

5.1.3 Total transportation network size.

km

5.1.4 Does the region have a significant risk of power shortages?

yes=0, no=1

5.1.5 Does the region have a significant risk of medication shortages?

yes=0, no=1

5.2

Culture Specifics and Societal Discipline

5.2.1 Literacy rate.

%

5.2.2 Proportion of population with tertiary education.

number per capita

5.2.3

Poverty rate.

Population living below national poverty line(%)

Does the region have religious or cultural practices that increase chances of
5.2.4 infection risk or quarantine non-compliance?

yes=0, no=1

5.2.5 Human Development Index 2016.

Index

5.3

Level of Modern Sanitization Methods

5.3.1 Does the region have access to basic sanitation facilities?
5.4

yes=1, no=0

Diseases

5.4.1 Prevalence of diabetes.

Deep Knowledge Group% of population ages 20 to 79

95

COVID-19 Regional Safety Index: Tier-1 Parameters
5.4.2 Death rate due to endocrine disorder.

per 100,000 people

Prevalence of mental health and substance use disorders as a share of total disease
Percent of total disease burden, 2017.
5.4.3 burden, 2017.
5.4.4 Incidence of tuberculosis.

per 100,000 people

5.4.5 Incidence of cancer.

per 100,000 people

5.4.6 Obesity% of total population

5.5

Demography

5.5.1 Size of Elderly Population.
5.6% of total population

Societal Risks

5.6.1 Is the region currently experiencing a political or election-based crisis?

yes=0, no=1

Is there a majoritively positive public sentiment regarding government COVID-19
5.6.2 strategy?

yes=1, no=0

5.6.3 Does the majority of the region’s population support the current government?

yes=1, no=0

Does the region’s government take into account diaspora as a factor in formulating
5.6.4 its COVID-19 strategy?

yes=1, no=0

Does the region’s government experience significant foreign pressure affecting its
5.6.5 COVID-19 strategic decision making?

yes=0, no=1

Deep Knowledge Group96

COVID-19 Regional Safety Index: Tier-1 Proprietary Parameters
6

COVID-19 Emergency Preparedness

6.1

Societal Emergency Resilience

6.1.1 Proprietary metric #1

Not publicly disclosed.

6.1.2 Proprietary metric #2

Not publicly disclosed.

6.1.3 Proprietary metric #3

Not publicly disclosed.

6.1.4 Proprietary metric #4

Not publicly disclosed.

6.2

Emergency Military Mobilization Experience

6.2.1 Proprietary metric #1

Not publicly disclosed.

6.2.2 Proprietary metric #2

Not publicly disclosed.

6.2.3 Proprietary metric #3

Not publicly disclosed.

6.3

Surveillance Capabilities (Scale, Scope and Technological Sophistication)

6.3.1 Proprietary metric #1

Not publicly disclosed.

6.3.2 Proprietary metric #2

Not publicly disclosed.

6.3.3 Proprietary metric #3

Not publicly disclosed.

6.4

Previous National Emergency Experience

6.4.1 Proprietary metric #1

Not publicly disclosed.

6.4.1 Proprietary metric #2

Not publicly disclosed.

6.4.1 Proprietary metric #3

Not publicly disclosed.

Deep Knowledge Group97

COVID-19 Regional Safety Index:
Indicator Weighting Rationale
Each index category is assigned a weighting, representative of an “importance factor”, which is applied to each aggregate category score when
the ﬁnal, cumulative regional score is computed. Generally speaking, greater weights are given to indicators that have a greater effect on overall
regional safety and stability as it is deﬁned in the present assessment. Similarly, the composite indicators within each index categories are also
given individual weights, in accordance with their perceived importance and effect on the speciﬁc topic being measured by the indicator' parent
category. While indicator weights are represented as a percentage, category weights are represented by integers for the purpose of obtaining
round numbers that are more easily understandable.
The index's ﬁrst two categories (COVID-19 Quarantine Eﬃciency and COVID-19 Government Eﬃciency of Risk Management) are given thehighest weightings, of 2.2, respectively, because they measure the effectiveness of government responses made early in the overall timeline of
COVID spread, which has a much greater (and, indeed, multiplative) effect on COVID-19 risk and safety than reactionary responses andmanagement later on on the course of the pandemic. Meanwhile, COVID-19 Monitoring and Detection and COVID-19 Emergency Preparedness
are given a weighting of 1.5, respectively, because they most closely measure the eﬃciency of ongoing responses, emergency relief efforts andreal-time pandemic neutralization tactics, as well as the innate preventive infrastructure in place for rapid mobilization and coordination of crisis
management efforts. Finally, COVID-19 Healthcare Readiness and COVID-19 Regional Resilience are given a weighting of 1.3, respectively,
because while they are important to consider in the assessment of regional safety, they have comparatively less impact than the othercategories. The high death rates in the USA and UK, for example, indicate that the tangible risk of infection and mortality in regions with a highdegree of healthcare-related technological sophistication can still be high, despite the high level of medical modernization.
In future iterations of Deep Knowledge Group’s COVID-19 Regional Safety Assessment, the relative weightings of categories that reﬂect theeﬃciency of early crisis neutralization and mitigation efforts will be decreased in accordance with the growing timeline of the pandemic, and theweighting assigned to categories that reﬂect the eﬃciency of ongoing crisis management efforts will be increased proportionately.
Deep Knowledge Group98

COVID-19 Index Indicator Weight1.

Weighting of Index Indicator

1.1

Scale of Quarantine

18%

1.2

Quarantine Timeline

17%

1.3

Criminal Penalties for Violating Quarantine

14%

1.4

Economic Support for Quarantined Citizens

18%

1.5

Economic and Supply Chain Freezing

15.50%

1.6

Travel Restrictions

17.50%

2.

Deep Knowledge GroupCOVID-19 Quarantine Eﬃciency

COVID-19 Government Eﬃciency of Risk Management

Weighting of Index Indicator

2.1

Level of Security and Defense Advancement

17%

2.2

Rapid Emergency Mobilization

16%

2.3

Eﬃciency of Government Structure

18%

2.4

Economic Sustainability

17%

2.5

Legislative Eﬃciency

16%

2.6

Political Stability

16%
99

Weight

COVID-19 Index Indicator Weight

Deep Knowledge Group

3.

COVID-19 Monitoring and Detection

3.1

Monitoring Systems and Disaster Management

18%

3.2

Scope of Diagnostic Methods

15%

3.3

Testing Eﬃciency

18%

3.4

AI for Diagnostics and Prognostics

15%

3.5

Government Surveillance Technology for Monitoring

17%

3.6

Reliability and Transparency of Data

17%

4.

COVID-19 Healthcare Readiness

4.1

COVID-19 Equipment Availability

4.2

Mobilization of New Healthcare Resources

4.3

Quantity and Quality of Medical Staff

16%

4.4

Level of Healthcare Progressiveness

15%

4.5

Level of Technological Advancement

17%

4.6

Epidemiology System Level of Development

Weighting of Index Indicator

Weighting of Index Indicator18%17.50%

16.50%
100

COVID-19 Index Indicator Weight

Deep Knowledge Group

5.

COVID-19 Regional Resiliency

5.1

Infection Spread Risk

5.2

Culture Speciﬁcs and Societal Discipline

18%

5.3

Level of Modern Sanitization Methods

15%

5.4

Demography

5.5

Chronic Diseases

18%

5.6

Societal Risks

17%

6.

COVID-19 Emergency Preparedness

6.1

Societal Emergency Resilience

27%

6.2

Emergency Military Mobilization Experience

23%

6.3

Surveillance Capabilities (Scale, Scope and Technological
Sophistication)

27%

6.4

Previous National Emergency Experience23%

Weighting of Index Indicator

16.50%

15.50%

Weighting of Index Indicator

101Index Category Weight
COVID-19 Quarantine Eﬃciency

COVID-19 Emergency Preparedness
Weighting factor

2.2
WEIGHT

❏
❏
❏
❏
❏
❏

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

18%
17%
14%
18%
15.50%
17.50%

Weighting factor

1.5
WEIGHT

COVID-19 Government Eﬃciency of Risk Management❏ Societal Emergency Resilience❏ Emergency Military Mobilization
Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

WEIGHT

❏
❏
❏
❏
❏
❏

Level of Security and Defense Advancement
Rapid Emergency Mobilization
Eﬃciency of Government Structure
Economic Sustainability
Legislative Eﬃciency
Political Stability

17%
16%
18%
17%
16%
16%

1.3
WEIGHT

❏
❏
❏
❏
❏
❏

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

WEIGHT

Deep Knowledge Group

18%
17.50%
16%
15%
17%
16.50%

COVID-19 Regional Resiliency
Weighting factor

1.5

23%

Weighting factor

COVID-19 Monitoring and Detection❏ Monitoring Systems and Disaster
Management❏ Scope of Diagnostic Methods❏ Testing Eﬃciency❏ AI for Diagnostics and Prognostics❏ Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

27%

COVID-19 Healthcare ReadinessWeighting factor

2.2

27%
23%

Weighting factor

18%

1.3

15%
18%
15%
17%

WEIGHT

❏
❏
❏
❏
❏
❏

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

6.50%
18%
15%
15.50%
18%
17%

17%

102

COVID-19 Regional Safety Index:
Proprietary Data Overview
Five of the six top-level categories that comprise the index have been made publicly available in an open-source manner, all the way fromthe top level categories, down through their component indicators and parameters. However, Deep Knowledge group has only disclosed
the component indicators of the sixth top-level index category (Emergency Preparedness), and not it’s bottom-level parameters, because
they employ proprietary techniques that are the group’s intellectual property and are intended only for internal use.
The Emergency Preparedness index category consists of four component indicators: Societal Emergency Resilience (whose parameters
measure the regions' overall level of societal resilience, preparedness and experience with national emergencies), Emergency Military
Mobilization Experience (whose parameters measure region’s practical historical experience with mobilizing their military in order to help
deal with national emergencies), Surveillance Capabilities (which measure regions' the scale, scope and technological sophistication of
the region’s government surveillance capabilities), and Previous National Emergency Experience (which measures region’s practical
historical experience with national emergencies).
It has always been Deep Knowledge Group’s long-term mission to pursue its strategic agenda in a dual non-proﬁt and for-proﬁt manner,
aiming to achieve positive impact in the support of progressive technologies for the beneﬁt of humanity. It is for this reason that thedecision was made to conduct the majority of the group’s COVID-19 analytics in an open-source manner, free of charge, to provide thepublic in general and authorized organizations in particular with fact-based and unbiased information. However, the group also remains
open to disclosing its proprietary metrics and analytical techniques to relevant organizations, and to conducting region-speciﬁc andtopic-speciﬁc analytics and forecasting for responsible governmental bodies and departments.

Deep Knowledge Group103

COVID-19 Regional Safety Index:
Tier-2 and 3 Methodology Framework
Tier 2 consists of 20 regions which scored exceptionally well in terms of regional safety and stability according to the ﬁrst-stage analysis
utilizing 20 parameters, but not as high as those located in Tier 1. After being positioned in Tier 2, all 20 territories were then assigned
cumulative and category-speciﬁc rankings using a subset of 60 parameters aggregated from each of the index's 6 categories.
Meanwhile, the 60 regions located in Tier 3 (33% Europe, 16% Asia PAciﬁc, 8.3% Central America, and 1.6% Sub-Saharan Africa, 13%
Middle East & North Africa, 3.3% North America, 11.6% Eastern Europe and Central Asia, 11.6% South America) were selected based on
having achieved cumulative regional safety scores (according to the stage 1 analysis described above) that were signiﬁcantly lower thanwhat one would have expected according to their pre-pandemic level of healthcare readiness, emergency preparedness and governmental
management eﬃciency. In other words, Tier 3 consists of territories that should have ranked higher in terms of regional COVID-19 safety
and stability, but which for one or another reason did not. Both cumulative and category-speciﬁc rankings were performed for Tier 3 using
a subset of 60 parameters aggregated from each of the index's 6 categories.
The regions included in Tier 3 are, therefore, outliers, and to some extent anomalies, and demonstrate that one of the most critical factors
impacting regional safety and stability is not the general level of healthcare sophistication in non-pandemic times, but the speciﬁcgovernmental strategies used to combat pandemics. The Unites States and United Kingdom, for example, have high degrees ofhealthcare sophistication, and yet have some of the most severe COVID-19 growth rates and mortality rates internationally, which
represents a surprising result that can only be explained by speciﬁc ineﬃciencies relating to governmental policy, emergency
preparedness and crisis management. The regions included in Tier 3 are prime targets for follow-up special analytical case studies that
apply a deeper and more comprehensive, targeted, and case-by-case analytical methodologies and frameworks for identifying the speciﬁcfactors behind these regions’ surprisingly low comparative scores, and which utilize the results of tis analysis to provide key
recommendations across all six categories of Deep Knowledge Group’s Regional Safety Index.
Deep Knowledge Group

104

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

1

Population Density

People per km2

2

Does the region have “hotspots” (high density of cases in one specific area)?

yes=1, no=0

3

Number of cases

per million individuals

4

Scale and scope of region-wide lockdown

full = 1, partial = 0.5 non-existing = 0

5What is the length of quarantine?

14 days = 0.5, more than 14 = 1, noquarantine length = 0

6

Did the region impose quarantine measures early in the timeline of viral spread?

yes=1, no=0

7

Quantity of law enforcement officers.

number per capita

8

Criminal penalties for violating quarantine.

Number of months in incarceration.

9

Fines.

In USD

10

Economic support to citizens.

In USD

Deep Knowledge Group105

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

11

Economic support to SMEs.

In USD

12

Does the region have an absence of large supply shortages?

number of tourists per year

13

Quantity of automotive vehicles.

number per 1000 people

14

Average level of touristic flow.

yes=1, no=0

15

Does the region have dedicated military chemical and biological warfare divisions
and forces?

EIU Score16

Are there government-startups cooperation?

yes=1, no=0

17

Government effectiveness (EIU score).

yes=1, no=0

18

E-Government Development Index

EGDI score

19

Number of internet users per 1000 individuals.

number per 1000 people

20

State of emergency readiness

yes=1, no=0

Deep Knowledge Group106

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

21

Does the region have national laboratories available for COVID-19 testing?

Numeric

22

Number of COVID-19 tests conducted per day.

yes=0, no=1

23

Does the region have a significant shortage of COVID-19 tests?

yes=0, no=1

24

Quantity of Ventilator Stockpile

Numeric

25

Number of hospital beds

per 1000 people

26

Number of doctors.

per 1000 people

27

Healthcare Development Index score.

Index

28

HAQ (The Healthcare Access and Quality Index) - 2016.

Index

29

Does the region have access to basic sanitation facilities?

yes=1, no=030

Size of Elderly Population% of total population

Deep Knowledge Group107

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

31

Is the region currently experiencing a political or election-based crisis?

yes=0, no=1

32

Does the region’s military have pre-existing plans and policies in place in the eventof a biological or chemical attack?

yes=1, no=0

33

Number of deaths per mln

Numeric

34

Economic support to citizens

in USD35

Tax reliefs

in USD36

Are there any shortages in protective equipment?

yes=0, no=1

37

EGDI.

EGDI score

38

Does the region utilize Electronic Health Records?

yes=1, no=0

39

Regional economic debt (number).

% of GDP

40

Functioning of Government (Index)

HDI Index

Deep Knowledge Group108

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

41

Does the region have the necessary infrastructure for surplus ventilator production? yes=1, no=0

42

Global Health Security Index

GHS index score

43

Total transportation network size.

km

44

Literacy rate.

%

45

Proportion of population with tertiary education.

number per capita

46

Poverty rate.

Population living below national poverty line(%)

47

Does the region have religious or cultural practices that increase chances ofinfection risk or quarantine non-compliance?

yes=0, no=1

48

Human Development Index 2016.

Index

49

Prevalence of diabetes.

% of population ages 20 to 79

50

Death rate due to endocrine disorder.

per 100,000 people

Deep Knowledge Group109

COVID-19 Regional Safety Index: Tier-2 and 3 Parameters№

Parameter Name

51

Prevalence of mental health and substance use disorders as a share of total disease
Percent of total disease burden, 2017.
burden, 2017.

52

Incidence of tuberculosis.

per 100,000 people

53

Incidence of cancer.

per 100,000 people

54

Obesity% of total population

55

Is there a majoritively positive public sentiment regarding government COVID-19
strategy?

yes=1, no=0

56

Proprietary metric #1

Not publicly disclosed.

57

Proprietary metric #2

Not publicly disclosed.

58

Proprietary metric #3

Not publicly disclosed.

59

Proprietary metric #4

Not publicly disclosed.

60

Proprietary metric #5

Not publicly disclosed.

Deep Knowledge Group110

COVID-19 Regional Safety Index:
Tier-4 Methodology Framework
The 100 territories located in Tier 4 (45% Sub Saharan Africa, 22% Central America, 15% Asia and Paciﬁc, 5% Middle East and North
Africa, 5% South America, 4% Eastern Europe and Central Asia, 2% North America) were chosen based on the quantitative results of theﬁrst-stage regional safety analysis utilizing 20 parameters, as well as on the qualitative basis whether they suffered from severe levels ofdata unavailability and unreliability, preventing a fully comprehensive analysis. Due to such data availability issues, only 40 parameters(from the initial set of 130 parameters) was used was used to determine the cumulative scores for each of its 100 constituent regions.
Furthermore, due to the comparatively lower number of parameters utilized, and the fact that a single composite category (consisting ofparameters taken from each of the index’s 6 component categories) was created, only cumulative scoring was performed for eachconstituent region of Tier 4, rather than individual category-speciﬁc scoring. Additionally, the rankings provided for Tier 4 regions areapproximate, and are given as score ranges rather than discrete, individual values, to better account for the fundamental issue of data
unavailability for these regions. Thus, region-speciﬁc rankings for Tier 4 should be considered as more preliminary than the rankingspresented for Tiers 1 - 3. While quantitative and qualitative parameters were utilized in order to arrive at the presented territory-speciﬁcscoring, severe data unavailability and unreliability prevented a fully comprehensive analysis, and it is our hope that these regions willconsider releasing a greater volume of data necessary to conduct a more thorough analysis.
Future iterations of Deep Knowledge Group’s Regional Safety and Risk Assessment analytical case study will expand the scope of its
Tiering system to include a ﬁfth Tier, consisting of those territories from among Tier 4 which still score comparatively negatively after
having provided a suﬃcient volume of available and reliable data necessary to conduct a more thorough analysis with a greater numberof parameters.
Deep Knowledge Group111

COVID-19 Regional Safety Index: Tier-4 Parameters№

Parameter Name

1

Does the region have “hotspots” (high density of cases in one specific area)?

yes=1, no=0

2

Number of cases

per million individuals

3

Does the region have an absence of large supply shortages?

yes=0, no=1

4

Average level of touristic flow.

number of tourists per year

5

Does the region have dedicated military chemical and biological warfare divisions
and forces?

yes=1, no=0

6

Government effectiveness (EIU score).

EIU Score

7

State of emergency readiness

yes=1, no=0

8

Does the region have national laboratories available for COVID-19 testing?

yes=1, no=0

9Number of COVID-19 tests conducted per day.

Numeric

10

Does the region have a significant shortage of COVID-19 tests?

yes=0, no=1

Deep Knowledge Group112

COVID-19 Regional Safety Index: Tier-4 Parameters№

Parameter Name

11

Quantity of Ventilator Stockpile

Numeric

12

Number of hospital beds

per 1000 people

13

Number of doctors.

per 1000 people

14

Healthcare Development Index score.

Index

15

HAQ (The Healthcare Access and Quality Index) - 2016.

Index

16

Does the region have access to basic sanitation facilities?

yes=1, no=017

Size of Elderly Population% of total population

18

Is the region currently experiencing a political or election-based crisis?

yes=0, no=1

19

Does the region’s military have pre-existing plans and policies in place in the eventof a biological or chemical attack?

yes=1, no=0

20

Number of deaths per mln

Numeric

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COVID-19 Regional Safety Index: Tier-4 Parameters№

Parameter Name

21

Economic support to citizens

in USD22

Tax reliefs

in USD23

Are there any shortages in protective equipment?

yes=0, no=1

24

EGDI.

EGDI score

25

Does the region utilize Electronic Health Records?

yes=1, no=026

Regional economic debt (number).

% of GDP

27

Functioning of Government (Index)

HDI Index

28

Does the region have the necessary infrastructure for surplus ventilator production? yes=1, no=029

Global Health Security Index

GHS index score

30

Total transportation network size.

km

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COVID-19 Regional Safety Index: Tier-4 Parameters№

Parameter Name

31

Prevalence of diabetes.

% of population ages 20 to 79

32

Death rate due to endocrine disorder.

per 100,000 people

33

Prevalence of mental health and substance use disorders as a share of total disease
Percent of total disease burden, 2017.
burden, 2017.

34

Incidence of tuberculosis.

per 100,000 people

35

Incidence of cancer.

per 100,000 people

36

Obesity% of total population

37

Is there a majoritively positive public sentiment regarding government COVID-19
strategy?

yes=1, no=0

38

Proprietary metric #1

Not publicly disclosed.

39

Proprietary metric #2

Not publicly disclosed.

40

Proprietary metric #3

Not publicly disclosed.

Deep Knowledge Group115

COVID-19 Regional Safety Index:
Conclusion and Future Methodology Development
Deep Knowledge Group’s COVID-19 analytics generally, as well as the methodological underpinning of the present special case study, arein a continuous state of reﬁnement, expansion and enhancement, and future COVID-19 rankings and special case studies will strive toincorporate a larger number of regions in its analysis, a broader scope of speciﬁc parameters, a wider array of topics and categories ofanalysis, and a greater scope of data-science techniques.
Continuously-Updated Sources of Data

New Analytical Frameworks

Deep Knowledge Group is constantly incorporating the latest ﬁndings
from existing and new, reputable sources of public data as they become
available, and regularly consulting with speciﬁc experts on the matter ofadvanced and qualitative aspects of the current COVID-19 pandemic, toremain on the forefront of shifting trends.

Deep Knowledge Group is developing and releasing entirely new ranking
frameworks on additional topics relating to COVID-19 on a continual
basis. In the coming weeks the group will reveal frameworks relating tosuch topics as regions’ prospects for economic vulnerability andgeopolitical instability as a result of the pandemic.

Enhancing of Analytical Techniques

Customized Consultancy

Deep Knowledge Group is continually reﬁning and expanding both thebreadth and depth the analytical techniques applied to its ranking
frameworks, and periodically enhancing their capacity to handle andquantitatively assess highly complex and multidimensional data, as thecomplexity of the pandemic increases.

Deep Knowledge Group is open to disclosing its proprietary metrics andanalytical techniques to select counterparties, and to conducting
customized region-speciﬁc and topic-speciﬁc analytics and forecastingfor interested governmental bodies and departments in order to derive as
much humanitarian beneﬁt from its activities as possible.

Deep Knowledge Group116

General Conclusions

Deep Knowledge Group117

COVID-19 Regional Safety: General Findings
Overall, the analysis revealed a signiﬁcant degree of variance in terms of the overall regional safety ranking of the 200 regions andcountries analyzed, with the largest factors impacting a given territory’s speciﬁc score being either their their fundamental capacity toslow infection spread and treat COVID-19 cases, or the speciﬁc policies and strategies they use regardless of their raw capabilities.
Interestingly, the analysis revealed a large number of regions that should have scored well given their general pre-pandemic levels of
healthcare quality, readiness and technological sophistication, their capacities for stringent and actionable monitoring and detection,
government management eﬃciency, emergency preparedness and other critical factors, but which in practice received comparatively low
regional safety rankings when considered in the context of the full set of parameters used to compute their scores.
We ﬁnd many technological and economic superpowers suffering some of the highest infection spread and mortality rates, for example
the USA and UK, which is a surprising result that requires precise and tangible explanation, given that their scores are unlikely to be a
result of their raw capacity to slow infection spread and treat critical COVID-19 cases.
This ﬁnding strongly exempliﬁes the conclusion that one of the most critical factors impacting regional safety is not the general level ofdifferent region's theoretical capacity to withstand and neutralize national emergency situations, but rather the speciﬁc policies and crisis
management strategies and tactics they employ.
Regions which began closing borders, lockdown mandates and economic freezing measures comparatively late in the overall pandemic
timeline, which continue to prioritize economic recovery over public health and safety, which do not utilize suﬃciently widespread testing,
and which do not proactively build bridges across government departments and between the private and public sectors in order tostrengthen surplus healthcare resources against the threat of current and future outbreaks consistently score lower than one would
expect considering their raw resources, capacity and potential to maintain and optimize regional safety amid the current pandemic.
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118

COVID-19 Regional Safety: Geography-Speciﬁc Findings
East Asia and Paciﬁc shows a comparatively higher level of diversity among the rankings of its regions than other broad geographicalgroups featured in the present analysis. The majority of positively-scoring territories are located in Asia speciﬁcally (with the exception of
New Zealand), and one of the most common factors among them include governments with a high degree of emergency preparedness
and rapid mobilization of resources (e.g., Singapore and China).
Europe is dominated by a large number of average-ranking countries, with a smaller number scoring exceptionally high or low in terms ofregional safety. We do see a number of so-called “outliers” in the region as well, i.e., countries who should score well given their generallyhigh degrees of healthcare robustness, such as France and especially the United Kingdom, but which do not. This observation is a strong
indicator that one of the most critical factors impacting regional safety and stability is not the general level of healthcare sophistication in
non-pandemic times, but the speciﬁc governmental crisis management strategies and policies used to combat pandemics.
The regions within the Middle East and North Africa group that scored well in terms of cumulative regional COVID-19 safety have a few
commonalities which impact their comparatively optimal ranking. For example, many of them in recent years have made substantial
investments in the development of cutting edge healthcare technologies and facilities. Another commonality among thepositively-scoring regions is experience with national emergency management and rapid mobilization of crisis management resources.
North America has just one country in Tier 1 (Canada), two countries in Tier 3 (United States and Greenland), and one in Tier 4 (Bermuda).
The US is an interesting outlier considering its raw assets and capacity for government management eﬃciency, emergency preparedness,monitoring and detection, and healthcare readiness, the central factor impacting its current situation and its ranking are the speciﬁc
policies and crisis management strategies that its federal and state-level governments have deployed. Canada, by contrast, has beenmuch slower to relax its lockdown and social distancing mandates, and to re-open its economy, which is one of the factors impacting its
exceptionally high regional safety score, and it position as one of the 20 territories located in Tier 1.
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COVID-19 Regional Safety: Geography-Speciﬁc Findings
Central America is marked by a large number of countries that score comparatively negatively in the present analysis, with the majority
falling in Tier 4, and the rest in Tier 3, and none in Tiers 1 or 2. Common factors among many of the lower-scoring countries in Central
America include smaller economies, lower healthcare eﬃciency and economic and geographic isolation.
We tend to see a general trend of consistently low scores for Central Asia regions, in part due to a generally lower degree of healthcare
eﬃciency, modernization and technological sophistication, and lower levels of investments into robust technologies for monitoring andsurveillance. Central Asia also has some particular outliers who received signiﬁcantly lower scores than their neighbors due largely to
ineﬃciencies with government management and policy.
Generally speaking, our analysis revealed scores for Eastern European regions that are on the lower end of average, similarly due in part tolower healthcare modernization and technological sophistication. These factors, however, are offset by the fact that many regions
implemented lockdown measures earlier (on average) than Western European countries, which seems to have led to average COVID-19
growth rates and death tolls substantially lower than Western Europe. However, this is not a universal trend within Eastern Europe.
We see a great deal of variance among the regional safety scores of Sub-Saharan Africa. While the broad region’s COVID-19 growth anddeath rates are markedly lower than the majority of other territories included in the present analysis, its overall healthcare infrastructureand eﬃciency, as well as sanitation levels, are also comparatively lower, and generally the region has a much lower capacity to deal with
future increases in COVID-19 infection spread than other regions.
The analysis also revealed large degree of variance in the regional safety scores for South America. A common factor among the majorityof regions with signiﬁcantly higher-than-average regional safety scores in South America include very early, proactive government
responses (such as Chile, Uruguay, Peru and Ecuador).
Deep Knowledge Group120

COVID-19 Regional Safety: Tier-Speciﬁc Geographic Distribution
Interestingly, Tier 1 consists overwhelmingly of regions from Asia Paciﬁc (and of that, the majority are in Asia) and Europe, with just 15%
from Middle East and North Africa, and just 5% from North America. Thus, on average Asia and Europe appear to be maintaining regionalsafety more eﬃciently than the rest of the world, although the actual distribution of Asian and European regions that fall within andoutside of Tier 1 considers substantially as well, with a larger proportion of European countries being located outside of Tier 1.
The majority of regions within Tier 2 are European countries (70%), with 20% from the Middle East and North Africa, 5% from Eastern
Europe and Central Asia, and 5% from Asia Paciﬁc. Thus, the majority of Asia Paciﬁc regions that rank above Tiers 3 and 4 fall into Tier 1(25%), whereas the majority of European regions that fall above Tiers 2 and 3 are located in Tier 2 (32%).
Meanwhile, Asia Paciﬁc regions falling below Tier 2 are overwhelmingly located in Tier 4 (45% of all Asian territories), whereas European
countries falling below Tier 2 are majoritively in Tier 3 (47% of all European countries). Therefore, on average Asia Paciﬁc regions rankings
either exceptionally high or low in terms of regional safety, whereas the overall distributional gap for European countries is smaller, withroughly half falling within Tiers 1 and 2, approximately half into Tier 3, and very few (5%) in Tier 4.
From this we can gather several interesting observations, including the fact that regions within Asia have the highest total number ofterritories that score exceptionally well, but also a wider variation among individual scores ( large number falling within Tiers 1 and 4), witha signiﬁcant number of regions scoring particularly poorly, whereas Europe has a lesser number of individual countries that score
exceptionally well, but also a smaller number that score exceptionally poorly as well, with a generally narrower variance (with the majority
of countries falling within Tiers 2 and 3.
In analyzing the overall geographic distribution of regions within each broad geographic territory, several interesting insights emerge,
which can be used to gain further actionable insights into best and worst-case strategies for combating the current pandemic andoptimizing post-pandemic health and economic consequences of the months and years to come.
Deep Knowledge Group

121

General COVID-19 Recommendations for Future
Pandemic Readiness and Prevention● Government leaders should seek to improve cross-department coordination, especially as it pertains to links between public healthauthorities and security forces including military and law enforcement oﬃcers.
● Regional governments and international policy organizations should proactively develop the capacity and infrastructure foraddressing fast-moving pandemic threats.
● A dedicated normative international organization should be created to promote early identiﬁcation of global pandemic threats andreduction in health-risks imposed by advances in modern technology, such as international travels, which are one of the root causesof the current pandemic's global reach.
● Regions should be more proactive in stress-testing their health security capacities and in conducting and publishing the results ofafter-action reviews. By holding periodic health security simulations, such regions can simultaneously demonstrate theircommitment to maintaining a well-functioning health security system and transparently identify weak points in their health security
infrastructure in order to improve them for future scenarios of epidemiological relevance.
● The majority of regions should increase the level of domestic ﬁnancing for health security maintenance, development andimprovement, and should be tied to speciﬁc benchmarks within national action plans.
● Governments should develop speciﬁc mechanisms for facilitating private sector coordination for rapid mobilization of emergency
pandemic responses (e.g. equipment production, test and treatment development, etc.)● Overall utilization of AI-enabled GovTech platforms must be increased to create better cross-department coordination efforts.
● Medical and safety equipments storages must be addressed proactively.
● Regions should seek to establish intra-border cooperation and emergency response efforts jointly to prevent disease spread.
● Above all else, regions should not put economic recovery above public health and safety. Efforts to ease economic freezing andlockdowns should be coupled by vigilant and widespread testing, monitoring and detection.
Deep Knowledge Group122

Future Regional Safety Assessment Enhancements andFollow-Up Special Case Studies
The economic consequences of COVID-19 are already being felt on a massive and unprecedented scale around the globe, and signiﬁcantattention needs to be paid to developing optimal risk-management, reduction and resolution strategies to accelerate regional recovery
and enable the economic transition to a positive post-pandemic era.
In response to these pressures, we see a great many nations prioritizing preventative strategies to stabilize economies over public healthand safety, easing lockdowns and halting economic freezing measures even while infection spread and death rates continue to rise, andeven despite the fact that any efforts at economic re-stabilization that result in massive increases in infection spread will havedetrimental economic consequences in the long term. Meanwhile, other parallel crises (including the massive drop in oil prices and the
US-China trade war) are only serving to exacerbate the overall destabilizing effect on the global economy. And, against the background ofthese present diﬃculties, many experts are predicting a substantial second wave of the pandemic to occur in the coming months.
Taken together, all this means that identifying the most optimal balance between short term economic recovery and longer-term
preparation for a second wave of COVID-19 deserves a thorough and focused analysis. It is for this reason the future editions of Deep
Knowledge group’s Regional Safety Assessment analytical case studies will take these factors in account in computing theirregion-speciﬁc scores, and that larger scope of our ongoing COVID-19 Analytics will include a speciﬁc and dedicated follow-up study thatranks various regions’ existing strategies for easing lockdowns, jumpstarting economic activity, and preparing for a potential second waveof COVID-19 - a special case study focused on preparatory tactics for future risks, rather than current levels of regional safety.
We already see signiﬁcant differences in the ways that different regions are approaching this challenge, and precisely identifying theoverall scope of strategies being deployed, and analyzing which appear to be working and which are not, is one of Deep Knowledge
Group’s most pressing analytical priorities in the week and months to come.
Deep Knowledge Group123

Appendix I
Complete List ofCategory-Speciﬁc Rankingsfor 200 Countries and Regions

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

1

Switzerland

144

188

131

101

93

95

752

2

Germany

131

194

138

102

105

79

749

3

Israel

128

191

143

85

89

113

748

4

Singapore

145

176

145

86

102

91

744

5

Japan

127

184

142

108

85

91

738

6

Austria

122

188

122

89

96

110

726

7

China

120

172

132

80

74

139

717

8

Australia

131

181

116

81

89

118

716

9

New Zealand

153

156

128

75

94

108

715

10 South Korea Republic of Korea

118

176

133

84

89

111

712

11 United Arab Emirates

120

143

143

70

102

121

700

12 Canada

130

172

133

75

90

100

699

13 Hong Kong

136

166

133

69

77

117

698

14 Norway

128

181

122

80

96

79

685

15 Denmark

137

153

129

80

92

79

671

Deep Knowledge Group125

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

16 Taiwan

119

174

126

68

69

111

667

17 Saudi Arabia

125

143

121

52

106

111

657

18 Hungary

125

146

122

66

77

120

656

19 Netherlands

128

158

127

86

79

74

651

20 Vietnam

128

149

124

63

72

101

637

21 Kuwait

120

135

112

74

82

110

633

22 Iceland

116

140

104

88

87

66

600

23 Bahrain

109

127

92

76

85

102

592

24 Finland

102

140

93

97

85

68

584

25 Luxembourg

104

134

99

84

87

67

576

26 Qatar

101

149

92

66

81

85

575

27 Liechtenstein

114

139

87

81

86

64

572

28 Poland

113

150

102

59

82

64

570

29 Lithuania

87

154

93

83

86

64

566

30 Malaysia

126

129

86

63

84

78

565

Deep Knowledge Group126

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

31 Latvia

111

142

101

61

85

65

564

32 Slovenia

89

148

94

82

87

63

564

33 Oman

102

127

89

59

87

98

562

34 Greece

106

139

86

79

85

65

560

35 Estonia

103

138

94

76

83

63

556

36 Croatia

89

142

94

86

84

62

556

37 Turkey

114

126

93

63

81

79

556

38 Ireland

102

132

86

77

85

69

551

39 Georgia

114

120

92

79

77

67

550

40 Cyprus

113

126

98

60

86

67

550

41 Chile

99

151

92

63

80

63

549

42 Montenegro

118

112

98

72

88

61

548

43 Czech Republic

105

121

95

83

80

62

545

44 Malta

112

137

87

80

78

50

544

45 Spain

102

116

96

66

85

78

543

Deep Knowledge Group127

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

46 Portugal

109

131

87

73

79

62

542

47 Thailand

90

144

95

67

85

60

541

48 Bulgaria

107

117

96

84

78

59

541

49 Greenland

101

105

83

72

97

80

538

50 Mexico

106

129

101

53

87

62

537

51 Uruguay

108

135

89

62

79

63

536

52 Vatican City

114

110

103

64

86

59

535

53 Italy

103

118

93

71

80

69

533

54 Serbia

92

114

95

82

91

58

532

55 Philippines

108

111

97

42

84

91

532

56 India

111

131

80

36

75

99

532

57 Romania

106

131

95

60

79

60

531

58 Slovakia

93

144

91

60

83

59

530

59 United States

96

100

86

65

80

103

530

60 France

107

113

82

71

77

78

529

Deep Knowledge Group128

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

61 Russia

89

100

92

65

80

100

527

62 Argentina

92

116

94

83

81

58

524

63 Belarus

88

131

90

80

73

61

523

64 Monaco

107

113

98

61

80

64

523

65 Sweden

91

106

96

81

80

68

522

66 Ukraine

99

118

92

77

77

57

520

67 Gibraltar

107

99

90

77

75

70

518

68 UK United Kingdom

103

102

81

70

78

79

513

69 South Africa

100

116

97

48

85

67

512

70 San Marino

106

116

99

67

62

60

509

71 Kazakhstan

94

107

90

59

75

83

508

72 Bosnia and Herzegovina

105

104

94

68

80

56

508

73 Iran

91

109

79

52

78

96

505

74 Ecuador

104

110

94

60

80

56

505

75 Azerbaijan

87

113

93

71

71

64

499

Deep Knowledge Group

129

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

76 Mongolia

76

125

92

65

76

65

499

77 Lebanon

92

106

94

69

82

56

499

78 Belgium

98

107

85

75

83

49

498

79 Andorra

90

111

94

61

84

57

498

80 Cayman Islands

98

102

94

74

74

50

491

81 Armenia

74

105

93

76

80

57

484

82 Moldova

84

120

93

67

65

55

483

83 Myanmar

95

126

94

33

66

68

482

84 Bangladesh

102

115

95

50

55

66

482

85 Sri Lanka

95

129

87

49

69

54

482

86 Egypt

89

113

94

42

87

55

480

87 Tunisia

79

107

83

61

82

66

478

88 Albania

97

102

80

67

77

54

476

89 Jordan

72

114

93

56

87

53

475

90 Panama

87

113

80

61

77

53

471

Deep Knowledge Group130

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

QuarantineEﬃciency

Government
Eﬃciency

Monitoring and Healthcare
Detection
Readiness

Regional
Resiliency

Emergency
Preparedness

Final Score

91 Brazil

96

99

82

67

77

49

470

92 Morocco

104

107

94

38

70

53

465

93 Algeria

82

107

80

67

74

52

461

94 Honduras

100

102

93

38

71

52

457

95 Paraguay

99

98

80

48

78

52

455

96 Peru

93

104

80

53

71

51

453

97 Indonesia

91

108

91

45

65

51

450

98 Cambodia

93

114

94

50

48

49

448

99 Laos

89

126

91

25

64

47

442

100 Bahamas

113

113

80

26

57

50

440

Deep Knowledge Group131

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

Final Score

Region / Region Name

Final Score

101

Isle of Man

435

116

Nigeria426

102

St. Lucia

434

117

Palau

426

103

North Macedonia

431

118

Gabon

424

104

Dominica

430

119

French Polynesia

423

105

Antigua and Barbuda

429

120

Fiji

421

106

Dominican Republic

429

121

Uzbekistan

421

107

Grenada429

122

Botswana

419

108

Kyrgyzstan

429

123

El Salvador

416

109

Mauritius

429

124

Tajikistan

414

110

Barbados

428

125

Costa Rica

413

111

Bermuda428

126

Suriname

412

112

Maldives

428

127

Togo

412

113

São Tomé and Principe

428

128

Belize

409

114

Cuba

427

129

North Korea

408

115

Micronesia

427

130

Mozambique

407

Deep Knowledge Group132

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

Final Score

Region / Region Name

Final Score

131

Turkmenistan

403

146

Comoros374

132

New Caledonia

402

147

Kenya

372

133

Timor-Leste

402

148

Pakistan

370

134

Namibia

401

149

Zambia369

135

Seychelles

400

150

Colombia

367

136

Sierra Leone

399

151

Zimbabwe367

137

Guyana398

152

Madagascar

364

138

Aruba

396

153

Equatorial Guinea

363

139

Guam

394

154

Sint Maarten (Dutch part)

362

140

Bhutan392

155

Papua New Guinea

360

141

Jamaica391

156

Guinea-Bissau

358

142

Nepal

390

157

Ghana

356

143

Uganda

385

158

Libya

356

144

Gambia380

159

Nicaragua

354

145

Vanuatu

378

160

Angola350

Deep Knowledge Group133

COVID-19 Ranking of 200 Countries and Regions
Region / Region Name

Final Score

Region / Region Name

Final Score

161

British Virgin Islands

350

181

Eritrea332

162

Cabo Verde

350

182

Côte d'Ivoire

331

163

Curaçao

350

183

Sudan

331

164

Niger

350

184

Venezuela

331

165

Solomon Islands

350

185

Benin

329

166

St. Kitts and Nevis

350

186

Senegal327

167

St. Vincent and the Grenadines

350

187

Somalia

326

168

Trinidad and Tobago

350

188

Congo

325

169

Djibouti

349

189

Yemen

325

170

Guatemala

347

190

Central African Republic

323

171

St. Martin (French part)

345

191

Iraq

323

172

Lesotho343

192

Syrian Arab Republic

321

173

Haiti

340

193

Burkina Faso

318

174

Ethiopia

338

194

Tanzania314

175

Mauritania

338

195

Liberia

311

176

Bolivia

337

196

Afghanistan

310

177

Guinea

336

197

Chad

305

178

Malawi

336

198

Mali

300

179

Burundi334

199

Rwanda300

180

Cameroon

332

200South Sudan

300

Deep Knowledge Group

134

Appendix IV
COVID-19
Deep Knowledge Group
Activities

Switzerland: #1 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 65.26

Weight 1.3
15.36
10.63
6.42
10.44
12.40
10.01

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

144

101

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

752

188

17.00

POINTS

14.29
14.65
12.47
12.00
15.15

93
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

17.10
14.58
12.03
12.42
11.75
9.87

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

Weight 1.5

Category Score 87.67

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 71.66
11.09
15.15
14.94
4.02
9.91
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 85.56❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 77.75

18.00
15.00
13.45
15.00
9.18
17.00

131

95

POINTS

POINTS

Category Score 63.04❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

23.63
7.67
20.25
11.50

Germany: #2 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 59.45

Weight 1.3
16.51
4.25
10.24
13.02
9.30
6.12

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

131

102

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

749

194

17.00

POINTS

14.57
14.26
11.38
16.00
14.92

105
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

14.40
17.50
14.99
12.19
8.68
11.06

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

Weight 1.5

Category Score 91.97

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 81.10
13.12
16.23
15.00
9.76
13.39
13.60

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 88.13❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 78.82

18.00
15.00
13.37
15.00
13.60
17.00

138

79

POINTS

POINTS

Category Score 52.92❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
7.67
13.50
11.50

Israel: #3 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 57.98

Weight 1.3
12.67
10.63
7.67
6.30
12.4
8.30

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

128

85

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

748

191

17.00

POINTS

16.00
13.69
11.31
16.00
12.66

89
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

11.12
17.50
11.38
9.67
7.90
7.80

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

Weight 1.5

Category Score 95.38

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 68.46
5.39
17.11
15.00
0.00
13.95
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 86.66❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 65.38

18.00
15.00
14.40
15.00
15.98
17.00

143

113

POINTS

POINTS

Category Score 75.43❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

21.60
15.33
27.00
11.50

Singapore: #4 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 65.92

Weight 1.3
13.65
12.75
9.20
9.04
15.50
5.78

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

145

86

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

744

176

8.50

POINTS

16.00
15.33
11.02
16.00
13.29

102
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

14.40
17.50
10.99
6.91
6.52
9.69

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

Weight 1.5

Category Score 96.41

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 78.21
12.78
16.46
14.94
5.17
11.87
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 80.14❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 66.00

18.00
15.00
16.45
15.00
14.96
17.00

145

91

POINTS

POINTS

Category Score 60.58❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
13.50
11.50

Japan: #5 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 57.62

Weight 1.3
17.81
10.63
4.47
8.16
9.30
7.18

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

127

108

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

738

184

17.00

POINTS

16.00
13.41
10.93
12.00
14.42

85
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

16.80
14.25
12.03
13.62
12.74
13.87

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Societal Risks

Weight 1.5

Category Score 94.70

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 65.62
5.39
13.11
15.00
5.20
13.92
13.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 83.76❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 83.31

18.00
15.00
14.40
15.00
15.30
17.00

142

91

POINTS

POINTS

Category Score 60.58❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
13.50
11.50

Austria: #6 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 55.62

Weight 1.3
16.64
5.67
7.18
6.86
12.40
6.87

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

122

89

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

726

188

17.00

POINTS

12.76
13.95
11.57
16.00
14.23

96
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

11.82
17.50
13.81
11.88
3.59
9.65

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 81.16

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 73.50
11.61
15.36
15.00
5.17
9.37
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 85.52❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 68.26

18.00
15.00
13.32
15.00
8.50
11.33

122

110

POINTS

POINTS

Category Score 73.17❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

27.00
7.67
27.00
11.50

China: #7 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 54.63

Weight 1.3
17.91
5.67
8.86
5.59
15.50
1.10

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

120

80

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

717

172

17.00

POINTS

12.86
12.94
10.97
16.00
8.25

74
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

10.50
17.50
9.44
8.42
8.14
7.54

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 88.33

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 56.68
9.90
9.80
0.00
9.76
10.22
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 78.02❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 61.53

12.00
15.00
18.00
15.00
17.00
11.33

132

139

POINTS

POINTS

Category Score 92.33❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

27.00
15.33
27.00
23.00

Australia: #8 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 59.59

Weight 1.3
16.51
5.67
7.59
7.20
12.40
10.21

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

131

81

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

716

181

17.00

POINTS

15.43
14.50
7.85
12.00
15.43

89
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

10.47
14.58
13.41
9.29
1.96
12.46

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 77.03

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 68.70
9.09
16.61
15.00
6.89
7.51
13.60

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 82.21❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 62.18

18.00
15.00
9.20
15.00
8.50
11.33

116

118

POINTS

POINTS

Category Score 78.83❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
20.25
23.00

New Zealand: #9 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 69.72

Weight 1.3
17.76
11.33
5.97
7.49
15.50
11.67

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

153

75

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

715

156

8.50

POINTS

10.19
14.44
10.00
12.00
15.62

94
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.99
14.58
12.48
10.37
1.52
8.91

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 85.43

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 72.56
9.88
15.96
15.00
6.89
7.82
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 70.75❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 57.86

18.00
15.00
13.35
15.00
12.75
11.33

128

108

POINTS

POINTS

Category Score 72.08❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
13.50
23.00

South Korea: #10 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 53.82

Weight 1.3
15.10
00.00
8.00
7.39
15.50
7.83

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

118

84

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

712

176

17.00

POINTS

14.95
14.42
11.59
8.00
13.92

89
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

14.33
11.67
11.04
8.76
9.25
9.87

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 88.85

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 68.28
12.90
13.20
15.00
8.04
8.94
10.20

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 79.88❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 64.92

18.00
15.00
15.35
15.00
14.17
11.33

133

111

POINTS

POINTS

Category Score 74.08❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
27.00
11.50

United Arab Emirates: #11 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 54.59

Weight 1.3
15.75
5.67
4.98
7.11
15.50
5.57

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

120

70

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

700

143

17.00

POINTS

4.86
14.35
8.16
12.00
8.84

102
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.00
17.50
10.73
7.25
1.70
7.71

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 95.10

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 78.83
12.49
10.09
13.47
15.50
10.27
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 65.22❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 53.88

18.00
15.00
25.00
15.00
13.60
8.50

143

121

POINTS

POINTS

Category Score 80.83❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

27.00
15.33
27.00
11.50

Canada: #12 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 58.92

Weight 1.3
15.67
5.67
10.54
5.92
12.40
8.73

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

130

75

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

699

172

17.00

POINTS

14.95
14.04
8.38
8.00
15.65

90
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.87
11.67
11.86
9.95
1.81
12.42

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 88.96

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 69.25
8.31
17.72
14.87
6.31
8.43
13.60

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 78.02❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 57.58

18.00
15.00
12.63
15.00
17.00
11.33

133

100

POINTS

POINTS

Category Score 66.42❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
7.67
27.00
11.50

Hong Kong: #13 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 61.61

Weight 1.3
10.54
10.63
9.75
14.49
12.40
3.79

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

136

69

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

698

166

8.50

POINTS

16.00
14.66
12.03
12.00
12.21

77
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

10.86
14.58
8.47
2.44
7.20
9.90

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 88.84

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 59.06
12.06
10.58
15.00
6.31
4.91
10.20

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 75.40❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 53.45

18.00
15.00
12.51
15.00
17.00
11.33

133

117

POINTS

POINTS

Category Score 77.92❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
19.17
27.00
11.50

Norway: #14 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 58.07

Weight 1.3
14.34
5.67
6.36
7.14
15.50
9.06

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

128

80

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

685

181

17.00

POINTS

4.38
14.80
14.37
16.00
15.65

96
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

10.33
14.58
15.53
9.70
0.45
10.66

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 81.33

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 73.47
9.74
16.67
13.79
6.31
9.96
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 82.20❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 61.26

18.00
15.00
13.49
15.00
8.50
11.33

122

79

POINTS

POINTS

Category Score 52.92❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
7.67
13.50
11.50

Denmark: #15 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 62.41

Weight 1.3
16.82
5.67
7.52
9.07
15.50
7.83

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

137

80

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

671

153

8.50

POINTS

10.29
14.64
11.62
12.00
12.49

92
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.90
14.58
13.72
11.15
0.38
11.62

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 85.91

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 71.09
9.37
16.00
14.74
4.59
9.39
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 69.53❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 61.35

18.00
15.00
13.83
15.00
12.75
11.33

129

79

POINTS

POINTS

Category Score 52.92❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
7.67
13.50
11.50

Taiwan: #16 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 53.90

Weight 1.3
15.20
10.63
4.40
6.00
15.50
2.16

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

119

68

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

667

174

17.00

POINTS

14.76
13.33
11.30
8.00
14.58

69
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.00
11.67
9.60
5.47
6.80
9.90

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 83.85

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 52.98
9.87
10.76
15.00
0.00
0.35
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 78.97❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 52.44

18.00
15.00
10.91
15.00
13.60
11.33

126

111

POINTS

POINTS

Category Score 74.08❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
27.00
11.50

Saudi Arabia: #17 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 56.66

Weight 1.3
14.57
5.67
7.14
7.88
15.50
5.91

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

125

52

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

657

143

17.00

POINTS

9.90
10.47
7.82
12.00
7.64

106
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.00
12.30
10.75
5.58
1.3
0.98

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 80.50

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 81.39
12.56
11.77
15.00
14.35
10.70
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 64.84❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 39.91

18.00
15.00
12.67
15.00
8.50
11.33

121

111

POINTS

POINTS

Category Score 74.08❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
15.33
27.00
11.50

Hungary: #18 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 57.01

Weight 1.3
17.75
5.67
4.26
7.05
15.50
6.78

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

125

66

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

656

146

17.00

POINTS

3.33
12.52
9.12
12.00
12.34

77
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

11.83
8.75
11.69
7.97
1.26
8.91

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 81.33

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 59.14
5.68
10.79
13.72
5.17
10.18
13.60

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 66.31❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 50.42

18.00
15.00
13.50
15.00
8.50
11.33

122

120

POINTS

POINTS

Category Score 79.83❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

27.00
15.33
20.25
17.25

The Netherlands: #19 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 57.96

Weight 1.3
14.87
5.67
8.22
6.13
15.50
7.58

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

128

86

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

651

158

17.00

POINTS

10.57
14.64
6.62
8.00
15.15

79
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

10.14
17.50
12.96
11.20
1.70
12.47

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 84.58

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 60.70
5.88
12.21
13.53
5.17
10.31
13.60

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 71.98❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 65.98

18.00
15.00
8.24
15.00
17.00
11.33

127

74

POINTS

POINTS

Category Score 49.08❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

20.25
4.83
13.50
11.50

Vietnam: #20 Region
by COVID-19 Safety Ranking

Tier 1 Countries & Regions
June 3, 2020

COVID-19 Quarantine Eﬃciency
Weight 2.2
❏
❏
❏
❏
❏
❏

COVID-19 Healthcare Readiness

Category Score 58.32

Weight 1.3
15.33
5.67
6.82
4.50
15.50
10.50

Scale of Quarantine
Quarantine Timeline
Criminal Penalties for Violating Quarantine
Economic Support for Quarantined Citizens
Economic and Supply Chain Freezing
Travel Restrictions

128

63

POINTS

POINTS

❏
❏
❏
❏
❏
❏

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Weight 1.3

637

149

17.00

POINTS

10.67
11.71
7.87
12.00
8.46

72
POINTSCUMULATIVE
SCORE

❏
❏
❏
❏
❏

9.00
14.58
8.31
7.10
1.70
8.10

Infection Spread Risk
Culture Speciﬁcs and Societal Discipline
Level of Modern Sanitization Methods
Demography
Chronic Diseases
Political Risks

Weight 1.5

Category Score 82.35

Monitoring Systems and Disaster Management
Scope of Diagnostic Methods
Testing Eﬃciency
AI for Diagnostics and Prognostics
Government Surveillance Technology for
Monitoring❏ Reliability and Transparency of Data

❏
❏
❏
❏
❏
❏

Category Score 55.56
9.35
9.14
0.96
12.06
7.06
17.00

COVID-19 Emergency Preparedness

COVID-19 Monitoring and Detection
Weight 1.5

COVID-19 Equipment Availability
Mobilization of New Healthcare Resources
Quantity and Quality of Medical Staff
Level of Healthcare ProgressivenessLevel of Technological Advancement
Epidemiology System Level of Development

COVID-19 Regional Resiliency

Category Score 67.71❏ Level of Security and Defense
Advancement❏ Rapid Emergency Mobilization❏ Eﬃciency of Government Structure❏ Economic Sustainability❏ Legislative Eﬃciency❏ Political Stability

Category Score 48.79

18.00
15.00
14.52
15.00
8.50
11.33

124

101

POINTS

POINTS

Category Score 67.33❏ Societal Emergency Resilience❏ Emergency Military Mobilization Experience❏ Surveillance Capabilities (Scale, Scope andTechnological Sophistication)❏ Previous National Emergency Experience

27.00
15.33
13.50
11.50

Appendix III
Proﬁle Section
Regional Safety:
Tier 2 and Tier 3

Kuwait: #21 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 55

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 61

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 75

Tier 2 Countries & Regions
June 3, 2020

120

74

POINTS

POINTS

135
POINTS

633

82
POINTSCUMULATIVE
SCORE

112

110

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 57

COVID-19 Regional Resiliency
Weight 1.3

Category Score 63

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 73

Iceland: #22 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 53

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 63

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 69

Tier 2 Countries & Regions
June 3, 2020

116

88

POINTS

POINTS

140
POINTS

600

87
POINTSCUMULATIVE
SCORE

104

66

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 68

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 44

Bahrain: #23 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 58

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 2 Countries & Regions
June 3, 2020

109

76

POINTS

POINTS

127
POINTS

592

85
POINTSCUMULATIVE
SCORE

92

102

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 59

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 68

Finland: #24 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 63

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 2 Countries & Regions
June 3, 2020

102

97

POINTS

POINTS

140
POINTS

584

85
POINTSCUMULATIVE
SCORE

93

68

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 74

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Luxembourg: #25 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 61

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 66

Tier 2 Countries & Regions
June 3, 2020

104

84

POINTS

POINTS

134
POINTS

576

87
POINTSCUMULATIVE
SCORE

99

67

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 65

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Qatar: #26 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 68

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 2 Countries & Regions
June 3, 2020

101

66

POINTS

POINTS

149
POINTS

575

81
POINTSCUMULATIVE
SCORE

92

85

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 51

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 57

Liechtenstein: #27 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 52

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 63

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 58

Tier 2 Countries & Regions
June 3, 2020

114

81

POINTS

POINTS

139
POINTS

572

86
POINTSCUMULATIVE
SCORE

87

64

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 62

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Poland: #28 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 51

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 68

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 68

Tier 2 Countries & Regions
June 3, 2020

113

59

POINTS

POINTS

150
POINTS

570

82
POINTSCUMULATIVE
SCORE

102

64

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 45

COVID-19 Regional Resiliency
Weight 1.3

Category Score 63

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Lithuania: #29 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 40

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 70

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 2 Countries & Regions
June 3, 2020

87

83

POINTS

POINTS

154
POINTS

566

86
POINTSCUMULATIVE
SCORE

93

64

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 64

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 42

Malaysia: #30 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 57

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 59

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 57

Tier 2 Countries & Regions
June 3, 2020

126

63

POINTS

POINTS

129
POINTS

565

84
POINTSCUMULATIVE
SCORE

86

78

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 48

COVID-19 Regional Resiliency
Weight 1.3

Category Score 64

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 52

Latvia: #31 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 50

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 64

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 67

Tier 2 Countries & Regions
June 3, 2020

111

61

POINTS

POINTS

142
POINTS

564

85
POINTSCUMULATIVE
SCORE

101

65

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Slovenia: #32 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 67

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 2 Countries & Regions
June 3, 2020

89

82

POINTS

POINTS

148
POINTS

564

87
POINTSCUMULATIVE
SCORE

94

63

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 63

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 42

Oman: #33 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 58

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 59

Tier 2 Countries & Regions
June 3, 2020

102

59

POINTS

POINTS

127
POINTS

562

87
POINTSCUMULATIVE
SCORE

89

98

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 45

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 65

Greece: #34 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 63

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 57

Tier 2 Countries & Regions
June 3, 2020

106

79

POINTS

POINTS

139
POINTS

560

85
POINTSCUMULATIVE
SCORE

86

65

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 61

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Estonia: #35 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 63

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 2 Countries & Regions
June 3, 2020

103

76

POINTS

POINTS

138
POINTS

556

83
POINTSCUMULATIVE
SCORE

94

63

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 59

COVID-19 Regional Resiliency
Weight 1.3

Category Score 64

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 42

Croatia: #36 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 64

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 2 Countries & Regions
June 3, 2020

89

86

POINTS

POINTS

142
POINTS

556

84
POINTSCUMULATIVE
SCORE

94

62

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 66

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Turkey: #37 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 52

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 57

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 2 Countries & Regions
June 3, 2020

114

63

POINTS

POINTS126
POINTS

556

81
POINTSCUMULATIVE
SCORE

93

79

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 48

COVID-19 Regional Resiliency
Weight 1.3

Category Score 63

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 53

Ireland: #38 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 60

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 57

Tier 2 Countries & Regions
June 3, 2020

102

77

POINTS

POINTS

132
POINTS

551

85
POINTSCUMULATIVE
SCORE

86

69

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 59

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 46

Georgia: #39 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 52

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 55

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 2 Countries & Regions
June 3, 2020

114

79

POINTS

POINTS

120
POINTS

550

77
POINTSCUMULATIVE
SCORE

92

67

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 61

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Cyprus: #40 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 51

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 57

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 65

Tier 2 Countries & Regions
June 3, 2020

113

60

POINTS

POINTS126
POINTS

550

86
POINTSCUMULATIVE
SCORE

98

67

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 46

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Chile: #41 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 45

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 69

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

99

63

POINTS

POINTS

151
POINTS

549

80
POINTSCUMULATIVE
SCORE

92

63

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 49

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 42

Montenegro: #42 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 54

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 65

Tier 3 Countries & Regions
June 3, 2020

118

72

POINTS

POINTS

112
POINTS

548

88
POINTSCUMULATIVE
SCORE

98

61

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 55

COVID-19 Regional Resiliency
Weight 1.3

Category Score 68

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Czech Republic: #43 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 55

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

105

83

POINTS

POINTS

121
POINTS

545

80
POINTSCUMULATIVE
SCORE

95

62

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 64

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Malta: #44 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 51

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 62

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 58

Tier 3 Countries & Regions
June 3, 2020

112

80

POINTS

POINTS

137
POINTS

544

78
POINTSCUMULATIVE
SCORE

87

50

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 61

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 33

Spain: #45 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 53

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 64

Tier 3 Countries & Regions
June 3, 2020

102

66

POINTS

POINTS

116
POINTS

543

85
POINTSCUMULATIVE
SCORE

96

78

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 51

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 52

Portugal: #46 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 50

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 60

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 58

Tier 3 Countries & Regions
June 3, 2020

109

73

POINTS

POINTS

131
POINTS

542

79
POINTSCUMULATIVE
SCORE

87

62

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 56

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Thailand: #47 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 65

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

90

67

POINTS

POINTS

144
POINTS

541

85
POINTSCUMULATIVE
SCORE

95

60

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 52

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 40

Bulgaria: #48 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 53

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 64

Tier 3 Countries & Regions
June 3, 2020

107

84

POINTS

POINTS

117
POINTS

541

78
POINTSCUMULATIVE
SCORE

96

59

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 65

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 39

Greenland: #49 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score -COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 48

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 55

Tier 3 Countries & Regions
June 3, 2020

101

72

POINTS

POINTS

105
POINTS

538

97
POINTSCUMULATIVE
SCORE

83

80

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 55

COVID-19 Regional Resiliency
Weight 1.3

Category Score 75

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 53

Mexico: #50 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 58

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 67

Tier 3 Countries & Regions
June 3, 2020

106

53

POINTS

POINTS

129
POINTS

537

87
POINTSCUMULATIVE
SCORE

101

62

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 41

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Uruguay: #51 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 61

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 59

Tier 3 Countries & Regions
June 3, 2020

108

62

POINTS

POINTS

135
POINTS

536

79
POINTSCUMULATIVE
SCORE

89

63

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 42

Vatican City: #52 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 52

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 50

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 69

Tier 3 Countries & Regions
June 3, 2020

114

64

POINTS

POINTS

110
POINTS

535

86
POINTSCUMULATIVE
SCORE

103

59

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 49

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 39

Italy: #53 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 54

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

103

71

POINTS

POINTS

118
POINTS

533

80
POINTSCUMULATIVE
SCORE

93

69

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 54

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 46

Serbia: #54 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

92

82

POINTS

POINTS

114
POINTS

532

91
POINTSCUMULATIVE
SCORE

95

58

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 63

COVID-19 Regional Resiliency
Weight 1.3

Category Score 70

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 39

Philippines: #55 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 65

Tier 3 Countries & Regions
June 3, 2020

108

42

POINTS

POINTS

111
POINTS

532

84
POINTSCUMULATIVE
SCORE

97

91

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 32

COVID-19 Regional Resiliency
Weight 1.3

Category Score 64

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 61

India: #56 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 50

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 60

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

111

36

POINTS

POINTS

131
POINTS

532

75
POINTSCUMULATIVE
SCORE

80

99

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 28

COVID-19 Regional Resiliency
Weight 1.3

Category Score 58

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 66

Romania: #57 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 59

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

106

60

POINTS

POINTS

131
POINTS

531

79
POINTSCUMULATIVE
SCORE

95

60

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 46

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 40

United States: #58 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 43

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 45

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 57

Tier 3 Countries & Regions
June 3, 2020

96

65

POINTS

POINTS

100
POINTS

530

80
POINTSCUMULATIVE
SCORE

86

103

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 50

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 69

Slovak Republic: #59 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 66

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

93

60

POINTS

POINTS

144
POINTS

530

83
POINTSCUMULATIVE
SCORE

91

59

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 46

COVID-19 Regional Resiliency
Weight 1.3

Category Score 64

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 40

France: #60 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 55

Tier 3 Countries & Regions
June 3, 2020

107

71

POINTS

POINTS

113
POINTS

529

77
POINTSCUMULATIVE
SCORE

82

78

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 55

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 52

Russia: #61 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 45

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

89

65

POINTS

POINTS

100
POINTS

525

88
POINTSCUMULATIVE
SCORE

92

100

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 50

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 66

Argentina: #62 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 53

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

92

83

POINTS

POINTS

116
POINTS

524

81
POINTSCUMULATIVE
SCORE

94

58

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 63

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 39

Belarus: #63 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 40

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 60

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 60

Tier 3 Countries & Regions
June 3, 2020

88

80

POINTS

POINTS

131
POINTS

523

73
POINTSCUMULATIVE
SCORE

90

61

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 61

COVID-19 Regional Resiliency
Weight 1.3

Category Score 56

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 41

Monaco: #64 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 65

Tier 3 Countries & Regions
June 3, 2020

107

61

POINTS

POINTS

113
POINTS

523

80
POINTSCUMULATIVE
SCORE

98

64

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Sweden: #65 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 48

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 64

Tier 3 Countries & Regions
June 3, 2020

91

81

POINTS

POINTS

106
POINTS

522

80
POINTSCUMULATIVE
SCORE

96

68

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 62

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Ukraine: #66 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 45

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 54

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

99

77

POINTS

POINTS

118
POINTS

520

77
POINTSCUMULATIVE
SCORE

92

57

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 59

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 38

Gibraltar: #67 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 49

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 45

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 60

Tier 3 Countries & Regions
June 3, 2020

107

78

POINTS

POINTS

99
POINTS

518

75
POINTSCUMULATIVE
SCORE

90

70

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 59

COVID-19 Regional Resiliency
Weight 1.3

Category Score 58

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 47

United Kingdom: #68 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 46

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 54

Tier 3 Countries & Regions
June 3, 2020

103

70

POINTS

POINTS

102
POINTS

513

78
POINTSCUMULATIVE
SCORE

81

79

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 54

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 53

South Africa: #69 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 53

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 65

Tier 3 Countries & Regions
June 3, 2020

100

48

POINTS

POINTS

116
POINTS

512

85
POINTSCUMULATIVE
SCORE

97

67

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 37

COVID-19 Regional Resiliency
Weight 1.3

Category Score 66

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 44

San Marino: #70 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 53

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 66

Tier 3 Countries & Regions
June 3, 2020

106

67

POINTS

POINTS

116
POINTS

509

62
POINTSCUMULATIVE
SCORE

99

60

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 51

COVID-19 Regional Resiliency
Weight 1.3

Category Score 48

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 40

Kazakhstan: #71 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 43

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 60

Tier 3 Countries & Regions
June 3, 2020

94

59

POINTS

POINTS

107
POINTS

508

75
POINTSCUMULATIVE
SCORE

90

83

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 45

COVID-19 Regional Resiliency
Weight 1.3

Category Score 57

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 55

Bosnia and Herzegovina: #72 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 48

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 47

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

105

68

POINTS

POINTS

104
POINTS

508

80
POINTSCUMULATIVE
SCORE

94

56

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 53

COVID-19 Regional Resiliency
Weight 1.3

Category Score 62

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 38

Iran: #73 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

91

52

POINTS

POINTS

109
POINTS

505

78
POINTSCUMULATIVE
SCORE

79

96

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 40

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 64

Ecuador: #74 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 50

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

104

60

POINTS

POINTS

110
POINTS

505

80
POINTSCUMULATIVE
SCORE

94

56

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 46

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 37

Azerbaijan: #75 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 40

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

87

71

POINTS

POINTS

113
POINTS

499

71
POINTSCUMULATIVE
SCORE

93

64

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 55

COVID-19 Regional Resiliency
Weight 1.3

Category Score 55

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Mongolia: #76 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 35

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 57

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

76

65

POINTS

POINTS

125
POINTS

499

76
POINTSCUMULATIVE
SCORE

92

65

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 50

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 43

Lebanon: #77 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 48

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

92

69

POINTS

POINTS

106
POINTS

499

82
POINTSCUMULATIVE
SCORE

94

56

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 53

COVID-19 Regional Resiliency
Weight 1.3

Category Score 63

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 37

Belgium: #78 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 45

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 57

Tier 3 Countries & Regions
June 3, 2020

98

75

POINTS

POINTS

107
POINTS

498

83
POINTSCUMULATIVE
SCORE

85

49

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 58

COVID-19 Regional Resiliency
Weight 1.3

Category Score 64

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 33

Andorra: #79 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 50

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

90

61

POINTS

POINTS

111
POINTS

498

84
POINTSCUMULATIVE
SCORE

94

57

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 65

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 38

Cayman Islands: #80 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 44

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 47

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

98

74

POINTS

POINTS

102
POINTS

491

74
POINTSCUMULATIVE
SCORE

94

50

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 57

COVID-19 Regional Resiliency
Weight 1.3

Category Score 57

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 33

Armenia: #81 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 34

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 48

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

74

76

POINTS

POINTS

105
POINTS

484

80
POINTSCUMULATIVE
SCORE

93

57

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 58

COVID-19 Regional Resiliency
Weight 1.3

Category Score 61

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 38

Moldova: #82 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 38

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 55

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

84

67

POINTS

POINTS

120
POINTS

483

65
POINTSCUMULATIVE
SCORE

93

55

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 52

COVID-19 Regional Resiliency
Weight 1.3

Category Score 50

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 37

Myanmar: #83 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 43

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 57

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

95

33

POINTS

POINTS126
POINTS

482

66
POINTSCUMULATIVE
SCORE

94

68

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 25

COVID-19 Regional Resiliency
Weight 1.3

Category Score 51

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 45

Bangladesh: #84 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

102

50

POINTS

POINTS

115
POINTS

482

55
POINTSCUMULATIVE
SCORE

95

66

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 39

COVID-19 Regional Resiliency
Weight 1.3

Category Score 42

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 44

Sri Lanka: #85 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 43

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 58

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 58

Tier 3 Countries & Regions
June 3, 2020

95

49

POINTS

POINTS

129
POINTS

482

69
POINTSCUMULATIVE
SCORE

87

54

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 37

COVID-19 Regional Resiliency
Weight 1.3

Category Score 53

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 36

Egypt: #86 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 40

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 51

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

89

42

POINTS

POINTS

113
POINTS

480

87
POINTSCUMULATIVE
SCORE

94

55

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 32

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 37

Tunisia: #87 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 36

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 55

Tier 3 Countries & Regions
June 3, 2020

79

61

POINTS

POINTS

107
POINTS

478

82
POINTSCUMULATIVE
SCORE

83

66

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 63

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 44

Albania: #88 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 44

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 46

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

97

67

POINTS

POINTS

102
POINTS

476

77
POINTSCUMULATIVE
SCORE

80

54

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 51

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 36

Jordan: #89 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 33

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

72

56

POINTS

POINTS

114
POINTS

475

87
POINTSCUMULATIVE
SCORE

93

53

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 43

COVID-19 Regional Resiliency
Weight 1.3

Category Score 67

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 36

Panama: #90 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 39

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

87

61

POINTS

POINTS

113
POINTS

471

77
POINTSCUMULATIVE
SCORE

80

53

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 47

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 35

Brazil: #91 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 44

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 45

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 55

Tier 3 Countries & Regions
June 3, 2020

96

67

POINTS

POINTS

99
POINTS

470

77
POINTSCUMULATIVE
SCORE

82

49

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 52

COVID-19 Regional Resiliency
Weight 1.3

Category Score 59

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 33

Morocco: #92 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 47

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

104

38

POINTS

POINTS

107
POINTS

465

70
POINTSCUMULATIVE
SCORE

94

53

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 29

COVID-19 Regional Resiliency
Weight 1.3

Category Score 54

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 35

Algeria: #93 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 37

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 48

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

82

67

POINTS

POINTS

107
POINTS

461

74
POINTSCUMULATIVE
SCORE

80

52

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 52

COVID-19 Regional Resiliency
Weight 1.3

Category Score 57

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 35

Honduras: #94 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 46

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 47

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 62

Tier 3 Countries & Regions
June 3, 2020

100

38

POINTS

POINTS

102
POINTS

457

71
POINTSCUMULATIVE
SCORE

93

52

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 29

COVID-19 Regional Resiliency
Weight 1.3

Category Score 55

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 35

Paraguay: #95 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 45

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 45

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

99

48

POINTS

POINTS

98
POINTS

455

78
POINTSCUMULATIVE
SCORE

80

52

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 37

COVID-19 Regional Resiliency
Weight 1.3

Category Score 60

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 34

Peru: #96 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 47

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

93

53

POINTS

POINTS

104
POINTS

453

71
POINTSCUMULATIVE
SCORE

80

51

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 41

COVID-19 Regional Resiliency
Weight 1.3

Category Score 55

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 34

Indonesia: #97 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 49

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

91

45

POINTS

POINTS108
POINTS

450

65
POINTSCUMULATIVE
SCORE

91

51

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 34

COVID-19 Regional Resiliency
Weight 1.3

Category Score 50

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 34

Cambodia: #98 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 42

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 63

Tier 3 Countries & Regions
June 3, 2020

93

50

POINTS

POINTS

114
POINTS

448

48
POINTSCUMULATIVE
SCORE

94

49

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 38

COVID-19 Regional Resiliency
Weight 1.3

Category Score 37

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 32

Laos: #99 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 41

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 57

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 61

Tier 3 Countries & Regions
June 3, 2020

89

25

POINTS

POINTS126
POINTS

442

64
POINTSCUMULATIVE
SCORE

91

47

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 19

COVID-19 Regional Resiliency
Weight 1.3

Category Score 49

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 31

Bahamas: #100 Region
by COVID-19 Safety Ranking
COVID-19 Quarantine Eﬃciency
Weight 2.2

Category Score 52

COVID-19 Government Eﬃciency
of Risk Management
Weight 2.2

Category Score 52

COVID-19 Monitoring and Detection
Weight 1.5

Category Score 53

Tier 3 Countries & Regions
June 3, 2020

113

26

POINTS

POINTS

113
POINTS

440

57
POINTSCUMULATIVE
SCORE

80

50

POINTS

POINTS

COVID-19 Healthcare ReadinessWeight 1.3

Category Score 20

COVID-19 Regional Resiliency
Weight 1.3

Category Score 44

COVID-19 Emergency Preparedness
Weight 1.5

Category Score 34

Appendix IV
COVID-19
Deep Knowledge Group
Activities

Deep Knowledge Group COVID-19 Analytics
Deep Knowledge Group’s COVID-19 analytical frameworks and methodology have been designed to rapidly account for the new and ongoing actionsof regions as they strive to mitigate the health and economic consequences of COVID-19 within their own borders. By applying Big Data Analysis to alarge scope of quantiﬁed and relevant parameters, and comparing them in tangible practical ways, they are able to serve as the ideal tools forresponsible governments and relevant decision makers to derive actionable data and insights on their own speciﬁc situation over time on theeffectiveness of their counter-infection measures and how to adapt the best-case examples (and avoid the mistakes) of other regions in a way that is
tuned to the speciﬁcs of their own regional, healthcare and economic circumstance. These frameworks are designed to identify positive cases suchas these, and enable relevant decision makers to get a tangible understanding of how they can apply them to their own situations in an eﬃcient,cost-effective and actionable manner.
Big Data Analysis for Tangible Insights

Applying Best Case Examples from Other regions

COVID-19 is a complex system impacted by the intersection
and interaction of many different factors and enti. Big Data
Analysis can rapidly help identify hidden patterns andcorrelations.

By analyzing the speciﬁc metrics that certain regions rank wellin, decision makers can identify the exact factors behind
positive region rankings in speciﬁc categories.

Gaining a Dynamic Lens on regions’ COVID Efforts
The frameworks are periodically updated, and analyzingchanges in speciﬁc ranking frameworks over time can help
measure the effectiveness of regions’ efforts, and adjust themover time.

Region-Speciﬁc Metrics for Precise Ranking
The frameworks are designed to be both generally applicable
across many different regions, and to include region-speciﬁc
metrics to account for the inevitable speciﬁcs of various
regions.

Major Usesof Deep Knowledge
Group’s COVID-19
Analytics

Avoiding the Mistakes of Other regions
The frameworks account for both positive and negative factors
impacting regions’ effectiveness at combating COVID-19,
identifying critical mistakes to avoid.

Actionable Data-Driven Answers to Key Questions
Above all else, the frameworks have been formulated to enable
the identiﬁcation of tangible, action-oriented insights on how
regions should adjust their policies and efforts maximize
beneﬁcial outcomes for their citizens and national economies.

Deep Knowledge Group COVID-19 Analytics

Deep Knowledge Group’s COVID-19 Analytics in the MediaDeep Knowledge Group’s COVID-19 Analytics in the MediaDeep Knowledge Group’s COVID-19 Analytics in the Media
Deep Knowledge Group’s recent “COVID-19 regions Health Safety Ranking” attracted signiﬁcant public interest. Since their initialpublication, the rankings have received widespread media attention in Der Spiegel, NIKKEI Asian Review, Deutsche Welle,
Esquire, Forbes and others, and was acknowledged by Israel’s Prime Minister Oﬃce, Ministry of Foreign Affairs of Israel andpersonally by Israel’s Prime Minister, Benjamin Netanyahu. The Group was also mentioned on i24 TV Channel. The Full Media
Coverage can be found here: https://www.dkv.global/media-newsDeep Knowledge Group’s COVID-19 MedTech Analytics
IT-Platform
Deep Knowledge Group’s new COVID-19 MedTech Analytics IT-Platform is designed to serve as a comprehensive database of the most
relevant entities, technologies, and developments in the COVID-19 MedTech ecosystem, aggregating, profiling and visualizing thecompanies, organizations, scientists and technologies at the forefront of neutralizing the COVID-19 pandemic and ensuring the health andsafety of individuals and nations during this time of unprecedented crisis. The platform aims to cover all major sectors and relevant
activities in the global COVID-19 MedTech landscape from science to technology, R&D, treatment, diagnostic and vaccine development,
and practical applications occurring globally, providing data on particular scientific and technological sectors and geographical regions.

Deep Knowledge Group’s COVID-19 MedTech Analytics
IT-Platform
The platform was created by Deep Knowledge Analytics utilizing the sophisticated IT-solutions and Interactive MindMap and Data
Visualization capabilities that the DeepTech analytics subsidiary of the group has developed over the past several years. Its ultimate aim is
to serve a comprehensive database and one-stop informational resource designed to keep both the public and relevant decision makers
informed on the latest developments in the COVID-19 MedTech landscape, proﬁling 95 Treatment Candidates, 85 Vaccine Candidates, 60
Preventative Tech, 40 Test Kits, 220 Scientists, 380 Companies, 535 Investors, 50 Funding Agencies, 1500+ Clinical Trials and 180
Universities, Labs and R&D Hubs working at the frontier of neutralizing the pandemic and promoting beneﬁcial outcomes for those alreadyinfected.

420
Companies

240
Scientists

50
Funding Agencies

535
Investors

190
Labs and R&D Hubs

40
Test Kits

45
Preventive Technologies

85
Vaccine Candidates

95
Treatment Candidates

1,500+
Clinical Trials

7,000+
Patents

10,000+Scientiﬁc Papers

Analytical Subsidiaries

Deep Knowledge Analytics

Pharma Division

GovTech Division

Deep Knowledge Analytics is a deep tech analyticalagency using multidimensional algorithms to
produce advanced industrial reports on DeepTech
and frontier technologies. An online analytics
platform with interactive visuals updated in real-time
was released early this year

The Pharma Division of Deep Knowledge Analytics
specializes in the production of the mostcomprehensive analytical reports on the topics of
Artiﬁcial Intelligence, Drug Discovery, Data Scienceand Digital Health within the broader Pharma
Healthcare Industry and intersection of AI and
Pharma.

The GovTech Division of Deep Knowledge Analytics
focuses on producing sophisticated open-accessand proprietary analytics the reveal factors driving
the ongoing transformation of the global GovTech
industry, main sectors to be changed, barriers to thisprocess, and ways to overcome them.

Aging Analytics Agency

NeuroTech Analytics

Aging Analytics Agency began producing reports before theindustry emerged and it is exclusively focused on Longevity,
Geroscience, AgeTech and Preventive Medicine. The company
has been developing its methodology since 2015 and is themain source of market intelligence in the ﬁeld.

NeuroTech Analytics specializes in the production of
open-access and commercial comparative analytics on the fullscope of the global NeuroTech industry, ranging frombrain-computerinterfaces
toimplanttechnologies,
neurostimulation
andneuromodulation,andneuroplasticity-increasing apps.

Analytical Subsidiaries: Aging Analytics Agency

Analytical Subsidiaries: Aging Analytics Agency

Analytical Subsidiaries: Deep Knowledge Analytics

Analytical Subsidiaries: Deep Knowledge Analytics GovTech
Division

DISCLAIMER
Deep Knowledge Group is using its best efforts to continuously update its COVID-19 analytics based on dynamic, publicly
available metrics deemed reliable, such as World Health Organization, Worldometers, CDC, Johns Hopkins University, andother publicly available sources.
Certain metrics used for advanced and qualitative assessment were formulated by Deep Knowledge Group analysts incoordination with specific experts and consultants using proprietary sources and techniques. Therefore, such rankings may
be adjusted over time depending on the corresponding underlying information and in coordination with ongoingenhancements to our underlying analytical methodologies.
Information provided herein is intended for indicative and informational purposes only. Opinions, estimates and analysis
represented constitute the current judgment and opinion of the author.

CONTACT US
Knowledge is Power
Deep Knowledge is Transcendent Powerwww.dkv.global/covid
info@dkv.global