OxRML/AgentSLR huggingface dataset:
Parameter: Mutations - substitution rate (Mutations)
Value: 8 Substitutions/site/year (Mean)
Exponent (base 10): -4
Uncertainty: 6.4 - 9.7 (HPDI 95%)
Statistical approach: Estimated model parameter
Genome site: Whole genome sequence
Population: Unspecified, sex: , ages  to 
Country: Multi-country: Africa (n = 4), Americas (n = 14), Asia (n = 5), Oceania (n = 3)
Setting: Unspecified, Unspecified
Sample size: 135
Study period: 1947 - 2016
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 15.1 Percentage (%) ()
Exponent (base 10): 0
Numerator/denominator: 53 / 350 (method: )
Disaggregated by: Age, Time
Population: General population, sex: Both, ages 5 to 50
Country: Thailand
Location: Samut Songkhram
Setting: Population based, 
Sample size: 350
Study period: Apr 2017 - Apr 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 11 Percentage (%) ()
Exponent (base 10): 0
Numerator/denominator: 8 / 73 (method: )
Population: General population, sex: Both, ages 5 to 15
Country: Thailand
Location: Samut Songkhram
Setting: Population based, 
Sample size: 73
Study period: Apr 2017 - Apr 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 13.4 Percentage (%) ()
Exponent (base 10): 0
Numerator/denominator: 13 / 97 (method: )
Population: General population, sex: Both, ages 16 to 30
Country: Thailand
Location: Samut Songkhram
Setting: Population based, 
Sample size: 97
Study period: Apr 2017 - Apr 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 17.8 Percentage (%) ()
Exponent (base 10): 0
Numerator/denominator: 32 / 180 (method: )
Population: General population, sex: Both, ages 31 to 50
Country: Thailand
Location: Samut Songkhram
Setting: Population based, 
Sample size: 180
Study period: Apr 2017 - Apr 2018
Parameter: Attack rate (Attack rate)
Value:  Per 10,000 population (Unspecified)
Exponent (base 10): 0
Uncertainty: 0.897 - 21.548 (95% CI)
Bounds: 0.897 - 21.16
Statistical approach: Observed sample statistic
Disaggregated by: Region
Population: General population, sex: Both, ages  to 
Country: Dominican Republic
Location: All municipalities
Setting: Population based, Unspecified
Study period: 2014 - 2016
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 0 Percentage (%) (Unspecified)
Exponent (base 10): 0
Numerator/denominator: 0 / 132 (method: )
Seroprevalence adjustment: Naive
Trimester exposed: Unspecified
Population: Pregnant women, sex: Female, ages  to 
Country: Brazil
Location: Recife
Setting: Population based, Unspecified
Sample size: 132
Study period: 2016 - 2017
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 61.3 Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 52.9 - 69.7 (95% CI)
Numerator/denominator: 81 / 132 (method: )
Seroprevalence adjustment: Naive
Trimester exposed: Unspecified
Population: Pregnant women, sex: Female, ages  to 
Country: Brazil
Location: Recife
Setting: Population based, Unspecified
Sample size: 132
Study period: 2016 - 2017
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 0 Percentage (%) (Unspecified)
Exponent (base 10): 0
Numerator/denominator: 1 / 132 (method: )
Seroprevalence adjustment: Naive
Trimester exposed: Unspecified
Population: Children, sex: Unspecified, ages  to 
Country: Brazil
Location: Recife
Setting: Population based, Unspecified
Sample size: 132
Study period: 2016 - 2017
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 1.519 No units (Unspecified)
Exponent (base 10): 0
Uncertainty: 1.508 - 1.531 (95% CI)
Statistical approach: Estimated model parameter
Reproduction number method: Unspecified Other
Population: General population, sex: Both, ages  to 
Country: Costa Rica
Setting: Population based, Unspecified
Sample size: 10234
Study period: Jan 2016 - Dec 2017
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 23.3 Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 0 - 62 (95% CI)
Bounds: 0 - 45.6
Statistical approach: Observed sample statistic
Disaggregated by: Region
Population: General population, sex: Both, ages 2 to 75
Country: France
Location: 22 municipalities of French Guiana
Setting: Population based, Both urban and rural areas
Sample size: 2697
Study period: Jun 2017 - Oct 2017
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 1.3176 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Compartmental model Vector-human
Population: General population, sex: Unspecified, ages  to 
Country: Brazil
Setting: Population based, 
Study period: 2015
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 26.1 Percentage (%) ()
Exponent (base 10): 0
Numerator/denominator: 76 / 291 (method: )
Population: Children, sex: Both, ages  to 
Country: France
Location: French Guiana
Setting: Mixed settings, 
Sample size: 291
Study period: 1 Jan 2015 - 15 Jul 2016
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 2.2 No units (Unspecified)
Exponent (base 10): 0
Uncertainty: 1.1 - 3.8 (95% CI)
Reproduction number method: Branching process Vector-human
Population: General population, sex: Unspecified, ages  to 
Country: Mexico
Location: Reynosa
Setting: Population based, Unspecified
Sample size: 330
Study period: 2017
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 80.6 Percentage (%) (Mean)
Exponent (base 10): 0
Uncertainty: 76.4 - 84.1 (95% CI)
Bounds: 58.3 - 100
Case definition: Lab confirmed
Numerator/denominator: 323 / 401 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Disaggregated by: Age, Sex
Population: Mixed groups, sex: Both, ages 5 to 80
Country: Brazil
Location: Pernambuco State
Setting: Household based, 
Sample size: 425
Study period: Apr 2017 - Dec 2017
Parameter: Seroprevalence - Neutralisation/PRNT (Seroprevalence)
Value: 65.7 Percentage (%) (Mean)
Exponent (base 10): 0
Uncertainty: 61 - 70.1 (95% CI)
Bounds: 60 - 100
Case definition: Lab confirmed
Numerator/denominator: 272 / 414 (method: Adjusted)
Seroprevalence adjustment: Adjusted
Statistical approach: Observed sample statistic
Disaggregated by: Age, Sex
Population: Mixed groups, sex: Both, ages 5 to 80
Country: Brazil
Location: Pernambuco State
Setting: Household based, 
Sample size: 425
Study period: Apr 2017 - Dec 2017
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 2.37 No units (Mean)
Exponent (base 10): 0
Uncertainty: 2.35 - 2.39 (95% CI)
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Other
Population: General population, sex: Both, ages  to 
Country: Costa Rica
Setting: Population based, Unspecified
Study period: 12 Apr 2016 - 24 Aug 2016
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 1.99 No units (Mean)
Exponent (base 10): 0
Uncertainty: 1.97 - 2.01 (95% CI)
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Human-human
Population: General population, sex: Both, ages  to 
Country: Costa Rica
Setting: Population based, Unspecified
Study period: 12 Apr 2016 - 24 Aug 2016
Parameter: Reproduction number (Basic R0) - Vector-borne (Reproduction number)
Value: 1.04 No units (Mean)
Exponent (base 10): 0
Uncertainty: 1.03 - 1.05 (95% CI)
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Vector-human
Population: General population, sex: Both, ages  to 
Country: Costa Rica
Setting: Population based, Unspecified
Study period: 12 Apr 2016 - 24 Aug 2016
Parameter: Severity - case fatality rate (CFR) (Severity)
Value: 38 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 6 / 16 (method: Naive)
Statistical approach: Observed sample statistic
Population: Persons under investigation, sex: Unspecified, ages 0 to 0
Country: Brazil
Location: Rio de Janeiro
Setting: Hospital based, Unspecified
Sample size: 16
Study period: Jan 2016 - Oct 2016
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 4.15 Percentage (%) (Unspecified)
Exponent (base 10): 0
Numerator/denominator: 7 / 140 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Blood donors, sex: Unspecified, ages  to 
Country: Brazil
Location: São Paulo
Setting: Population based, Unspecified
Sample size: 140
Study period: May 2016 - May 2018
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 2.85 Percentage (%) (Unspecified)
Exponent (base 10): 0
Numerator/denominator: 4 / 140 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Blood donors, sex: Unspecified, ages  to 
Country: Brazil
Location: São Paulo
Setting: Population based, Unspecified
Sample size: 140
Study period: May 2016 - May 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 45.7 Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 41.39 - 50.08 (95% CI)
Numerator/denominator: 229 / 501 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Unspecified
Population: Blood donors, sex: Both, ages  to 
Country: Burkina Faso
Location: Ouagadougou, Bobo-Dioulasso
Setting: Population based, Unspecified
Sample size: 501
Study period: 2020
Parameter: Seroprevalence - Neutralisation/PRNT (Seroprevalence)
Value: 22.75 Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 19.29 - 26.62 (95% CI)
Numerator/denominator: 114 / 229 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Unspecified
Population: Blood donors, sex: Both, ages  to 
Country: Burkina Faso
Location: Ouagadougou, Bobo-Dioulasso
Setting: Population based, Unspecified
Sample size: 501
Study period: 2020
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 6.93 No units ()
Exponent (base 10): 0
Uncertainty: 5.82 - 8.05 (95% CI)
Reproduction number method: Compartmental model Human-human
Population: General population, sex: Both, ages  to 
Country: Singapore
Location: Singapore
Setting: Population based, Unspecified
Study period: 7 Aug 2016 - 31 Aug 2016
Parameter: Reproduction number (Effective, Re) (Reproduction number)
Value: 0.24 No units ()
Exponent (base 10): 0
Uncertainty: 0.07 - 0.41 (95% CI)
Reproduction number method: Compartmental model Human-human
Population: General population, sex: Both, ages  to 
Country: Unspecified
Location: Singapore
Setting: Population based, Unspecified
Study period: 4 Sep 2016 - 30 Nov 2016
Parameter: Seroprevalence - Neutralisation/PRNT (Seroprevalence)
Exponent (base 10): 0
Bounds: 6 - 100
Seroprevalence adjustment: Naive
Disaggregated by: Other
Population: General population, sex: Both, ages  to 
Country: Indonesia
Location: Aceh Jaya
Setting: Population based, Unspecified
Sample size: 116
Study period: 2017
Parameter: Seroprevalence - IgG (Seroprevalence)
Value:  Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 13 - 33.4 (95% CI)
Bounds: 16.5 - 27.4
Statistical approach: Observed sample statistic
Disaggregated by: Other, Sex, Time
Trimester exposed: Second trimester
Population: General population, sex: Both, ages  to 
Country: Thailand
Setting: Population based, Unspecified
Sample size: 1648
Study period: Dec 1997 - Dec 2017
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 7.8 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 47 / 602 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Persons under investigation, sex: Both, ages  to 
Country: Spain
Location: Madrid
Setting: Hospital based, Unspecified
Sample size: 602
Study period: Jan 2016 - Jan 2017
Parameter: Seroprevalence - Neutralisation/PRNT (Seroprevalence)
Value: 42.5 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 40 / 94 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Persons under investigation, sex: Unspecified, ages 0 to 2
Country: Brazil
Location: Maranhao state
Setting: Hospital based, Unspecified
Sample size: 94
Study period: 2016 - 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 6.8 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 6 / 88 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Persons under investigation, sex: Unspecified, ages 0 to 2
Country: Brazil
Location: Maranhao state
Setting: Hospital based, Unspecified
Sample size: 88
Study period: 2016 - 2018
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 86.7 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 78 / 90 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Persons under investigation, sex: Female, ages  to 
Country: Brazil
Location: Maranhao state
Setting: Hospital based, Unspecified
Sample size: 90
Study period: 2016 - 2018
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value:  No units (Unspecified)
Exponent (base 10): 0
Bounds: 0 - 4
Statistical approach: Estimated model parameter
Reproduction number method: Unspecified Unspecified
Population: General population, sex: Unspecified, ages  to 
Country: Unspecified
Location: Global
Setting: Mixed settings, Unspecified
Study period: 2015 - 2016
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 0 Percentage (%) (Central)
Exponent (base 10): 0
Numerator/denominator: 0 / 174 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Trimester exposed: Unspecified
Population: Pregnant women, sex: Female, ages  to 
Country: Thailand
Setting: Other, Unspecified
Sample size: 174
Study period: 1997 - 2015
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 29 Percentage (%) (Central)
Exponent (base 10): 0
Numerator/denominator: 50 / 174 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Trimester exposed: Unspecified
Population: Pregnant women, sex: Female, ages  to 
Country: Thailand
Setting: Other, Unspecified
Sample size: 174
Study period: 1997 - 2015
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 10.9 Percentage (%) (Mean)
Exponent (base 10): 0
Numerator/denominator: 47 / 431 (method: )
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: General population, sex: Both, ages  to 
Country: Cabo Verde
Location: Santiago Island: Praia
Setting: Population based, Both urban and rural areas
Sample size: 431
Study period: 24 Aug 2014 - 4 Nov 2014
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 0.5 Percentage (%) (Central)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 2 / 406 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Pregnant women, sex: Female, ages 15 to 46
Country: Spain
Location: Barcelona
Setting: Population based, Unspecified
Sample size: 406
Study period: Jan 2016 - Apr 2019
Parameter: Seroprevalence - IgG (Seroprevalence)
Value: 52.7 Percentage (%) (Central)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 214 / 406 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Pregnant women, sex: Female, ages 15 to 46
Country: Spain
Location: Barcelona
Setting: Population based, Unspecified
Sample size: 406
Study period: Jan 2016 - Apr 2019
Parameter: Seroprevalence - Neutralisation/PRNT (Seroprevalence)
Value: 4.8 Percentage (%) (Central)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 10 / 209 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: Pregnant women, sex: Female, ages  to 
Country: Spain
Location: Barcelona
Setting: Population based, Unspecified
Sample size: 209
Study period: Jan 2016 - Apr 2019
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 31.3 Percentage (%) (Mean)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 89 / 284 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Population: General population, sex: Both, ages 18 to 52
Country: Myanmar
Location: Yangon
Setting: Population based, Unspecified
Sample size: 284
Study period: 2018
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 14.7 Percentage (%) (Unspecified)
Exponent (base 10): 0
Uncertainty: 8.8 - 22.4 (95% CI)
Bounds: 5.6 - 17.1
Case definition: Lab confirmed
Numerator/denominator: 17 / 116 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Disaggregated by: Time
Trimester exposed: Unspecified
Population: Persons under investigation, sex: Unspecified, ages  to 
Country: Guinea
Location: Faranah Prefecture Hospital
Setting: Hospital based, Unspecified
Sample size: 116
Study period: May 2018 - Jul 2021
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.727 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Other
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Setting: Population based, Unspecified
Study period: 2015 - Dec 2016
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 0.624 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Human-human
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Setting: Population based, Unspecified
Study period: 2015 - Dec 2016
Parameter: Reproduction number (Basic R0) - Vector-borne (Reproduction number)
Value: 1.103 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Vector-human
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Setting: Population based, Unspecified
Study period: 2015 - Dec 2016
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 2.227 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Other
Population: General population, sex: Unspecified, ages  to 
Country: United States
Location: Puerto Rico
Setting: Population based, Unspecified
Study period: Jan 2016 - Dec 2017
Parameter: Reproduction number (Basic R0) - Sexual (Reproduction number)
Value: 0.005 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Human-human
Population: General population, sex: Unspecified, ages  to 
Country: United States
Location: Puerto Rico
Setting: Population based, Unspecified
Study period: Jan 2016 - Dec 2017
Parameter: Reproduction number (Basic R0) - Vector-borne (Reproduction number)
Value: 2.222 No units (Central)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Next generation matrix Vector-human
Population: General population, sex: Unspecified, ages  to 
Country: United States
Location: Puerto Rico
Setting: Population based, Unspecified
Study period: Jan 2016 - Dec 2017
Parameter: Seroprevalence - IgM (Seroprevalence)
Value: 22 Percentage (%) (Unspecified)
Exponent (base 10): 0
Case definition: Lab confirmed
Numerator/denominator: 22 / 329 (method: Naive)
Seroprevalence adjustment: Naive
Statistical approach: Observed sample statistic
Trimester exposed: Unspecified
Population: Persons under investigation, sex: Unspecified, ages 0 to 1
Country: United States
Location: New York City
Setting: Hospital based, Unspecified
Sample size: 329
Study period: Jan 2016 - Dec 2017
Parameter: Attack rate (Attack rate)
Value: 0.38 Unspecified (Mean)
Exponent (base 10): 0
Uncertainty: 0.17 - 0.92 (95% CrI)
Bounds: 0.03 - 0.8
Statistical approach: Estimated model parameter
Disaggregated by: Region
Trimester exposed: Unspecified
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Location: Arauca, Armenia, Barranquilla, Bucaramanga, Cali, Cartagena, Cúcuta, Florencia, Ibagué, Inírida, Leticia, Medellín, Mitú, Mocoa, Montería, Neiva, Pereira, Popayán, Puerto Carreño, Quibdó, Riohacha, San Andrés, San José del Guaviare, Santa Marta, Sincelejo, Valledupar, Villavicencio, Yopal
Setting: Population based, Unspecified
Study period: 2015 - 2017
Parameter: Attack rate (Attack rate)
Value: 0.03 Unspecified (Mean)
Exponent (base 10): 0
Uncertainty: 0 - 0.1 (95% CrI)
Statistical approach: Estimated model parameter
Trimester exposed: Unspecified
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Location: Quibdó
Setting: Population based, Unspecified
Study period: 2015 - 2017
Parameter: Attack rate (Attack rate)
Value: 0.8 Unspecified (Mean)
Exponent (base 10): 0
Uncertainty: 0.56 - 0.99 (95% CrI)
Statistical approach: Estimated model parameter
Trimester exposed: Unspecified
Population: General population, sex: Unspecified, ages  to 
Country: Colombia
Location: San Andrés
Setting: Population based, Unspecified
Study period: 2015 - 2017
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.9472 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Tahiti, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.1854 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Sous-le-vent Islands, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.1508 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Mo'orea, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.1169 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Tuamotu-Gambier, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.1417 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Marquesas Islands, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.2246 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: France
Location: Australes, French Polynesia
Setting: Population based, Unspecified
Study period: 2013 - 2014
Parameter: Reproduction number (Basic R0) (Reproduction number)
Value: 1.8658 No units (Unspecified)
Exponent (base 10): 0
Statistical approach: Estimated model parameter
Reproduction number method: Other Vector-human
Trimester exposed: Unspecified
Population: Persons under investigation, sex: , ages  to 
Country: Costa Rica
Setting: Population based, Unspecified
Study period: 2016