Question: What are the impacts of COVID-19 among African-Americans that differ from the rest of the U.S. population?

Title: The impact of COVID-19 on African American communities in the United States Content: IMPORTANCE: The novel Coronavirus Disease 2019 (COVID-19), declared a pandemic in March 2020, may present with disproportionately higher rates in underrepresented racial/ethnic minority populations in the United States, including African American communities who have traditionally been over-represented in negative health outcomes. STUDY OBJECTIVE: To understand the impact of the density of African American communities (defined as the percentage of African Americans in a county) on COVID-19 prevalence and death rate within the three most populous counties in each U.S. state and territory (n=152). Design: An ecological study using linear regression was employed for the study. SETTING: The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n=152 counties. PARTICIPANTS: Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. MAIN OUTCOME MEASURES: Linear regression was used to determine the association between African American density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. RESULTS: There was a direct association between African American density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density (p<.01). There was also an association between county AA density and COVID-19 deaths, such; the death rate increased 2 per 100,000 for every percentage increase in county AA density (p=.02). CONCLUSION: These study findings indicate that communities with a high African American density have been disproportionately burdened with COVID-19. Further study is needed to indicate if this burden is related to environmental factors or individual factors such as types of employment or comorbidities that members of these community have.

Title: Racial segregation, testing sites access, and COVID-19 incidence rate in Massachusetts, USA Content: The U.S. has merely 4% of the world population but 25% of the world's COVID-19 cases. Massachusetts has been in the leading position of total cases since the outbreak in the U.S. Racial residential segregation is a fundamental cause of racial disparities in health. Moreover, disparities of access to health care have a large impact on COVID-19 cases. Thus, this study estimates racial segregation and disparities in testing sites access and employs economic, demographic, and transportation variables at the city/town level in Massachusetts. Spatial regression models are applied to evaluate the relationships between COVID-19 incidence rate and related variables. This is the first study to apply spatial analysis methods across neighborhoods in the U.S. to examine the COVID-19 incidence rate. The findings are: 1) residential segregations of Hispanic and Non-Hispanic Black/African Americans have a significantly positive association with COVID-19 incidence rate, indicating the higher susceptibility of COIVD-19 infections among minority; 2) The Black has the shortest drive time to testing sites, followed by Hispanic, Asian, and Whites. The drive time to testing sites is significantly negatively associated with the COVID-19 incidence rate, implying the importance of testing location being accessed by all populations; 3) Poverty rate and road density are significant explanatory variables. Importantly, overcrowding represented by more than one person per room is a significant variable found to be positively associated with COVID-19 incidence rate, suggesting the effectiveness of social distancing for reducing infection; 4) Different from previous studies, elderly population rate is not statistically significant with incidence rate because the elderly population in Massachusetts is less distributed in the hot spot regions of COVID-19 infections. The findings in this study provide useful insights for policymakers to propose new strategies to contain the COVID-19 transmissions in Massachusetts.

Title: Racial and Ethnic Disparities in SARS-CoV-2 Pandemic: Analysis of a COVID-19 Observational Registry for a Diverse U.S. Metropolitan Population Content: Importance: Despite emerging reports of poor COVID-19 outcomes among African Americans, data on race and ethnic susceptibility to SARS-CoV-2 infection are limited. Objective: To determine socio-demographic factors associated with higher likelihood of SARS-CoV-2 infection. To explore mediating pathways for race disparities in the SARS-CoV-2 pandemic. Design: Cross sectional analysis of COVID-19 Surveillance and Outcomes Registry (CURATOR). Multivariable logistic regression models were fitted to provide likelihood estimates (adjusted Odds Ratios: aOR, 95% confidence intervals: CI) of positive SARS-CoV-2 test. Structural Equation Modeling (SEM) framework was utilized to explore three mediation pathways (low income, high population density, high comorbidity burden) for association between African American race and SARS-CoV-2 infection. Setting: A large healthcare system comprising of one central tertiary care, seven large community hospitals and an expansive ambulatory and emergency care network in the Greater Houston area. Participants: Individuals of all ages, races, ethnicities and sex tested for SARS-CoV-2. Exposure: Socio-demographic (age, sex, race, ethnicity, household income, residence population density) and comorbidity (hypertension, diabetes, obesity, cardiac disease) factors. Main Outcome: Positive reverse transcriptase polymerized chain reaction test for SARS-CoV-2. Results: Among 4,513 tested individuals, 754 (16.7%) tested positive. Overall mean (SD) age was 50.6 (18.9) years, 62% females and 26% were African American. African American race was associated with higher comorbidity burden, lower socio-economic status, and higher population density residence. In the fully adjusted model, African American race (vs. White; aOR, CI: 1.84, 1.49-2.27) and Hispanic ethnicity (vs. non-Hispanic; aOR, CI: 1.70, 1.35-2.14) had a higher likelihood of infection. Older individuals and males were also at a higher risk of SARS-CoV-2 infection. The SEM framework demonstrated a statistically significant (p = 0.008) indirect effect of African American race on SARS-CoV-2 infection mediated via a pathway that included residence in densely populated zip code. Conclusions and Relevance: There is strong evidence of race and ethnic disparities in the SARS-CoV-2 pandemic potentially mediated through unique social determinants of health.

Title: Sex and race and/or ethnicity differences in patients undergoing radiofrequency ablation for Barrett's esophagus: results from the U.S. RFA Registry. Content: BACKGROUND Little is known about differences in Barrett's esophagus (BE) characteristics by sex and race and/or ethnicity or these differences in response to radiofrequency ablation (RFA). OBJECTIVE We compared disease-specific characteristics, treatment efficacy, and safety outcomes by sex and race and/or ethnicity in patients treated with RFA for BE. DESIGN The U.S. RFA patient registry is a multicenter collaboration reporting processes and outcomes of care for patients treated with RFA for BE. PATIENTS Patients enrolled with BE. INTERVENTIONS RFA. MAIN OUTCOME MEASUREMENTS We assessed safety (stricture, bleeding, perforation, hospitalization), efficacy (complete eradication of intestinal metaplasia [CEIM]), complete eradication of dysplasia, and number of treatments to CEIM by sex and race and/or ethnicity. RESULTS Among 5521 patients (4052 men; 5126 white, 137 Hispanic, 82 African American, 40 Asian, 136 heritage not identified), women were younger (60.0 vs 62.1 years) and had shorter BE segments (3.2 vs 4.4 cm) and less dysplasia (37% vs 57%) than did men. Women were almost twice as likely to stricture (odds ratio 1.7; 95% confidence interval, 1.2-2.3). Although white patients were predominantly male, about half of African Americans and Asians with BE were female. African Americans and Asians had less dysplasia than white patients. Asians and African Americans had more strictures than did white patients. There were no sex or race differences in efficacy. LIMITATIONS Observational study with non-mandated paradigms, no central laboratory for reinterpretation of pathology. CONCLUSION In the U.S. RFA patient registry, women had shorter BE segments and less-aggressive histology. The usual tendency toward BE in men was absent in African Americans and Asians. Posttreatment stricture was more common among women and Asians. RFA efficacy did not differ by sex or race.

Title: How bad is it? Suicidality in the middle of the COVID‐19 pandemic Content: OBJECTIVE: The current paper examines the intersection between social vulnerability, individual risk, and social/psychological resources with adult suicidality during the COVID‐19 pandemic. METHOD: Data come from a national sample (n = 10,368) of U.S. adults. Using an online platform, information was gathered during the third week of March 2020, and post‐stratification weighted to proportionally represent the U.S. population in terms of age, gender, race/ethnicity, income, and geography. RESULTS: Nearly 15 percent of sampled respondents were categorized as high risk, scoring 7+ on the Suicide Behaviors Questionnaire‐Revised (SBQ‐R). This level of risk varied across social vulnerability groupings: Blacks, Native Americans, Hispanics, families with children, unmarried, and younger respondents reported higher SBQ‐R scores than their counterparts (p < .000). Regression results confirm these bivariate differences and also reveal that risk factors (food insecurity, physical symptoms, and CES‐D symptomatology) are positive and significantly related to suicidality (p < .000). Additionally, resource measures are significant and negatively related to suicidality (p < .000). CONCLUSIONS: These results provide some insight on the impact COVID‐19 is having on the general U.S. population. Practitioners should be prepared for what will likely be a significant mental health fall‐out in the months and years ahead.

Title: How Bad Is It? Suicidality in the Middle of the COVID-19 Pandemic Content: OBJECTIVE: The current paper examines the intersection between social vulnerability, individual risk, and social/psychological resources with adult suicidality during the COVID-19 pandemic. METHOD: Data come from a national sample (n =10, 368) of U.S. adults. Using an online platform, information was gathered the third week of March 2020, and post-stratification weighted to proportionally represent the U.S. population in terms of age, gender, race/ethnicity, income, and geography. RESULTS: Nearly 15 percent of sampled respondents were categorized as high risk, scoring 7+ on the Suicide Behaviors Questionnaire-Revised (SBQ-R). This level of risk varied across social vulnerability groupings: Blacks, Native Americans, Hispanics, families with children, unmarried, and younger respondents reported higher SBQ-R scores than their counterparts (p < 0.000). Regression results confirm these bivariate differences, and also reveal that risk factors (food insecurity, physical symptoms, and CES-D symptomatology) are positive and significantly related to suicidality (p < 0.000). Additionally, resource measures are significant and negatively related to suicidality (p < 0.000). CONCLUSIONS: These results provide some insight on the impact COVID-19 is having on the general U.S. POPULATION: Practitioners should be prepared for what will likely be a significant mental health fall-out in the months and years ahead.

Title: This Time Must Be Different: Disparities During the COVID-19 Pandemic Content: African Americans and Latinos are overrepresented among cases of and deaths from COVID-19 nationally and in many of the U.S. regions hardest hit by the pandemic. The editorialist discusses lessons that we should have learned from prior experiences and strategies to reduce observed disparities.

Title: Stay-at-Home Orders, African American Population, Poverty and State-level Covid-19 Infections: Are there associations? Content: Importance: To cope with the continuing COVID-19 pandemic, state and local health officials need information on the effectiveness of policies aimed at curbing contagion, as well as area-specific socio-demographic characteristics that can portend vulnerability to the disease. Objective: To investigate whether state-imposed stay-at-home orders, African American population in the state, state poverty and other state socio-demographic characteristics, were associated with the state-level incidence of COVID-19 infection. Design, Setting, Participants: State-level, aggregated, publicly available data on positive COVID-19 cases and tests were used. The period considered was March 1st -May 4th. All U.S. states except Washington were included. Outcomes of interest were daily cumulative and daily incremental COVID-19 infection rates. Outcomes were log-transformed. Log-linear regression models with a quadratic time-trend and random intercepts for states were estimated. Covariates included log-transformed test-rates, a binary indicator for stay-at-home, percentage of African American, poverty, percentage elderly, state population and prevalence of selected comorbidities. Binary fixed effects for date each state first started reporting test data were included. Results: Stay-at-home orders were associated with decreases in cumulative ({beta}:-1.23; T-stat: -6.84) and daily ({beta}:-0.46; T-stat: -2.56) infection-rates. Predictive analyses indicated that expected cumulative infection rates would be 3 times higher and expected daily incremental rates about 60% higher in absence of stay-at-home orders. Higher African American population was associated with higher cumulative ({beta}: 0.08; T-stat: 4.01) and daily ({beta}: 0.06; T-stat: 3.50) rates. State poverty rates had mixed results and were not robust to model specifications. There was strong evidence of a quadratic daily trend for cumulative and daily rates. Results were largely robust to alternate specifications. Conclusions: We find evidence that stay-at-home orders, which were widely supported by public-health experts, helped to substantially curb COVID-19 infection-rates. As we move to a phased re-opening, continued precautions advised by public-health experts should be adhered to. Also, a larger African American population is strongly associated with incidence of COVID-19 infection. Policies and resources to help mitigate African American vulnerability to COVID-19 is an urgent public health and social justice issue, especially since the ongoing mass protests against police brutality may further exacerbate COVID-19 contagion in this community.

Title: Racial Disparity of Coronavirus Disease 2019 (COVID-19) in African American Communities Content: The COVID-19 pandemic has unveiled unsettling disparities in the outcome of the disease among African Americans. These disparities are not new, but are rooted in structural inequities that must be addressed to adequately care for communities of color. We describe the historical context of these structural inequities, their impact on the progression of COVID-19 in the African American (Black) community, and suggest a multifaceted approach to addressing these healthcare disparities. Of note, terminology from survey data cited for this article varied from Blacks, African Americans or both; for consistency, we use African Americans throughout.

Title: Differential expression of COVID-19-related genes in European Americans and African Americans Content: The Coronavirus disease 2019 (COVID-19) pandemic has affected African American populations disproportionately in regards to both morbidity and mortality. A multitude of factors likely account for this discrepancy. Gene expression represents the interaction of genetics and environment. To elucidate whether levels of expression of genes implicated in COVID-19 vary in African Americans as compared to European Americans, we re-mine The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) RNA-Seq data. Multiple genes integral to infection, inflammation and immunity are differentially regulated across the two populations. Most notably, F8A2 and F8A3, which encode the HAP40 protein that mediates early endosome movement in Huntington’s Disease, are more highly expressed by up to 24-fold in African Americans. Such differences in gene expression can establish prognostic signatures and have critical implications for precision treatment of diseases such as COVID-19. We advocate routine inclusion of information such as postal code, education level, and profession (as a proxies for socioeconomic condition) and race in the metadata about each individual sampled for sequencing studies. This relatively simple change would enable large-scale data-driven approaches to dissect relationships among race, socio-economic factors, and disease.

Title: Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study Content: Background The health impact of COVID-19 may differ in African settings as compared to countries in Europe or China due to demographic, epidemiological, environmental and socio-economic factors. We evaluated strategies to reduce SARS-CoV-2 burden in African countries, so as to support decisions that balance minimising mortality, protecting health services and safeguarding livelihoods. Methods We used a Susceptible-Exposed-Infectious-Recovered mathematical model, stratified by age, to predict the evolution of COVID-19 epidemics in three countries representing a range of age distributions in Africa (from oldest to youngest average age: Mauritius, Nigeria and Niger), under various effectiveness assumptions for combinations of different non-pharmaceutical interventions: self-isolation of symptomatic people, physical distancing, and shielding (physical isolation) of the high-risk population. We adapted model parameters to better represent uncertainty about what might be expected in African populations, in particular by shifting the distribution of severity risk towards younger ages and increasing the case-fatality ratio. Results We predicted median clinical attack rates over the first 12 months of 17% (Niger) to 39% (Mauritius), peaking at 2-4 months, if epidemics were unmitigated. Self-isolation while symptomatic had a maximum impact of about 30% on reducing severe cases, while the impact of physical distancing varied widely depending on percent contact reduction and R 0 . The effect of shielding high-risk people, e.g. by rehousing them in physical isolation, was sensitive mainly to residual contact with low-risk people, and to a lesser extent to contact among shielded individuals. Response strategies incorporating self-isolation of symptomatic individuals, moderate physical distancing and high uptake of shielding reduced predicted peak bed demand by 46% to 54% and mortality by 60% to 75%. Lockdowns delayed epidemics by about 3 months. Estimates were sensitive to differences in age-specific social mixing patterns, as published in the literature. Discussion In African settings, as elsewhere, current evidence suggests large COVID-19 epidemics are expected. However, African countries have fewer means to suppress transmission and manage cases. We found that self-isolation of symptomatic persons and general physical distancing are unlikely to avert very large epidemics, unless distancing takes the form of stringent lockdown measures. However, both interventions help to mitigate the epidemic. Shielding of high-risk individuals can reduce health service demand and, even more markedly, mortality if it features high uptake and low contact of shielded and unshielded people, with no increase in contact among shielded people. Strategies combining self-isolation, moderate physical distancing and shielding will probably achieve substantial reductions in mortality in African countries. Temporary lockdowns, where socioeconomically acceptable, can help gain crucial time for planning and expanding health service capacity.

Title: Socioeconomic Correlates of Obesity in African-American and Caribbean-Black Men and Women Content: The high prevalence of obesity among Black Americans warrants additional investigation into its relationship with socioeconomic position (SEP), sex, and ethnicity. This cross-sectional study utilizes 2001–2003 data from the National Survey of American Life, a nationally representative sample of 3570 African-Americans and 1621 Caribbean-Blacks aged 18 years and older. Multivariate logistic regression models stratified by ethnicity and sex describe the independent associations between obesity and multilevel socioeconomic factors after adjustment for age, other SEP measures at the individual, family and neighborhood levels, and health behaviors such as physical activity, alcohol intake, and smoking. A positive relationship was observed between obesity and family income among African-American and Caribbean-Black men. Receipt of public assistance was a strongly associated factor for obesity in Caribbean-Black men and women. Among African-American women, inverse relationships were observed between obesity and education, occupation, and family income; residence within a neighborhood with a supermarket also decreased their odds of obesity. Residence in a neighborhood with a park decreased the odds of obesity only among African-American men, whereas residence in a neighborhood with a supermarket decreased the odds of obesity among Caribbean-Black men. The social patterning of obesity by individual, household, and neighborhood socioeconomic resources differs for African-American and Caribbean-Black men and women within these cross-sectional analyses; an appreciation of these differences may be a prerequisite for developing effective weight control interventions and policies for these two populations.

Title: Differences in race and other state‐level characteristics and associations with mortality from COVID‐19 infection Content: As reporting of COVID‐19 at the US state level has become more granular, many states have reported a higher proportion of deaths among African‐Americans. In our study, we assessed state level data on race, population density, age, obesity rates, insurance data, GDP, per capita healthcare resources (hospital‐beds/ventilators per‐capita), median household income and high‐school graduation rates. We report a higher death rate among states with a greater proportion of African‐American residents despite adjusting for case rates and state‐level factors. To the best of our knowledge this is the first study looking at state level data (from across the US) and mortality with COVID‐19. This article is protected by copyright. All rights reserved.

Title: Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults Content: Importance: Data from the coronavirus disease 2019 (COVID-19) pandemic in the US show large differences in hospitalizations and mortality across race and geography. However, there are limited data on health information, beliefs, and behaviors that might indicate different exposure to risk. Objective: To determine the association of sociodemographic characteristics with reported incidence, knowledge, and behavior regarding COVID-19 among US adults. Design, Setting, and Participants: A US national survey study was conducted from March 29 to April 13, 2020, to measure differences in knowledge, beliefs, and behavior about COVID-19. The survey oversampled COVID-19 hotspot areas. The survey was conducted electronically. The criteria for inclusion were age 18 years or older and residence in the US. Data analysis was performed in April 2020. Main Outcomes and Measures: The main outcomes were incidence, knowledge, and behaviors related to COVID-19 as measured by survey response. Results: The survey included 5198 individuals (mean [SD] age, 48 [18] years; 2336 men [45%]; 3759 white [72%], 830 [16%] African American, and 609 [12%] Hispanic). The largest differences in COVID-19-related knowledge and behaviors were associated with race/ethnicity, sex, and age, with African American participants, men, and people younger than 55 years showing less knowledge than other groups. African American respondents were 3.5 percentage points (95% CI, 1.5 to 5.5 percentage points; P = .001) more likely than white respondents to report being infected with COVID-19, as were men compared with women (3.2 percentage points; 95% CI, 2.0 to 4.4 percentage points; P < .001). Knowing someone who tested positive for COVID-19 was more common among African American respondents (7.2 percentage points; 95% CI, 3.4 to 10.9 percentage points; P < .001), people younger than 30 years (11.6 percentage points; 95% CI, 7.5 to 15.7 percentage points; P < .001), and people with higher incomes (coefficient on earning ≥$100â¯000, 12.3 percentage points; 95% CI, 8.7 to 15.8 percentage points; P < .001). Knowledge of potential fomite spread was lower among African American respondents (-9.4 percentage points; 95% CI, -13.1 to -5.7 percentage points; P < .001), Hispanic respondents (-4.8 percentage points; 95% CI, -8.9 to -0.77 percentage points; P = .02), and people younger than 30 years (-10.3 percentage points; 95% CI, -14.1 to -6.5 percentage points; P < .001). Similar gaps were found with respect to knowledge of COVID-19 symptoms and preventive behaviors. Conclusions and Relevance: In this survey study of US adults, there were gaps in reported incidence of COVID-19 and knowledge regarding its spread and symptoms and social distancing behavior. More effort is needed to increase accurate information and encourage appropriate behaviors among minority communities, men, and younger people.

Title: Disparities in Coronavirus 2019 Reported Incidence, Knowledge, and Behavior Among US Adults Content: IMPORTANCE: Data from the coronavirus disease 2019 (COVID-19) pandemic in the US show large differences in hospitalizations and mortality across race and geography. However, there are limited data on health information, beliefs, and behaviors that might indicate different exposure to risk. OBJECTIVE: To determine the association of sociodemographic characteristics with reported incidence, knowledge, and behavior regarding COVID-19 among US adults. DESIGN, SETTING, AND PARTICIPANTS: A US national survey study was conducted from March 29 to April 13, 2020, to measure differences in knowledge, beliefs, and behavior about COVID-19. The survey oversampled COVID-19 hotspot areas. The survey was conducted electronically. The criteria for inclusion were age 18 years or older and residence in the US. Data analysis was performed in April 2020. MAIN OUTCOMES AND MEASURES: The main outcomes were incidence, knowledge, and behaviors related to COVID-19 as measured by survey response. RESULTS: The survey included 5198 individuals (mean [SD] age, 48 [18] years; 2336 men [45%]; 3759 white [72%], 830 [16%] African American, and 609 [12%] Hispanic). The largest differences in COVID-19–related knowledge and behaviors were associated with race/ethnicity, sex, and age, with African American participants, men, and people younger than 55 years showing less knowledge than other groups. African American respondents were 3.5 percentage points (95% CI, 1.5 to 5.5 percentage points; P = .001) more likely than white respondents to report being infected with COVID-19, as were men compared with women (3.2 percentage points; 95% CI, 2.0 to 4.4 percentage points; P < .001). Knowing someone who tested positive for COVID-19 was more common among African American respondents (7.2 percentage points; 95% CI, 3.4 to 10.9 percentage points; P < .001), people younger than 30 years (11.6 percentage points; 95% CI, 7.5 to 15.7 percentage points; P < .001), and people with higher incomes (coefficient on earning ≥$100 000, 12.3 percentage points; 95% CI, 8.7 to 15.8 percentage points; P < .001). Knowledge of potential fomite spread was lower among African American respondents (−9.4 percentage points; 95% CI, −13.1 to −5.7 percentage points; P < .001), Hispanic respondents (−4.8 percentage points; 95% CI, −8.9 to −0.77 percentage points; P = .02), and people younger than 30 years (−10.3 percentage points; 95% CI, −14.1 to −6.5 percentage points; P < .001). Similar gaps were found with respect to knowledge of COVID-19 symptoms and preventive behaviors. CONCLUSIONS AND RELEVANCE: In this survey study of US adults, there were gaps in reported incidence of COVID-19 and knowledge regarding its spread and symptoms and social distancing behavior. More effort is needed to increase accurate information and encourage appropriate behaviors among minority communities, men, and younger people.

Title: Are African American and Hispanics Disproportionately Affected by COVID-19 Because of Higher Obesity Rates? Content: INTRODUCTION: On March 13, 2020 the WHO declared COVID-19 a pandemic. Shortly after that, it was reported that mortality rates in New York City (NYC), the epicenter of the pandemic in the United States, were found to be significantly higher in African American and Hispanics. The aim of this manuscript is to evaluate the mortality rates in NYC among the different ethnic groups and the different boroughs as it relates to the obesity rates to see whether this issue merits further evaluation. METHODS: COVID-19 data was obtained from the official New York (NY) authorities in relation to total number of cases in the different boroughs of NYC. Age adjusted COVID-19 related mortality rates of the different ethnic groups were also obtained. This data was cross compared to historic community health data on obesity rates previously published and also obesity rates among the different ethnic groups in NYC. RESULTS: The two NYC boroughs that have the highest mortality rates are The Bronx (6%) and Brooklyn (5.4%). Both The Bronx and Brooklyn were also found to have the highest obesity rates 32% and 27% respectively. The two ethnic groups with the highest obesity rates (Hispanics and African Americans) were also found to have the highest age adjusted mortality rates per 100,000 compared to the other ethnic groups (22.8% and 19.8% respectively). CONCLUSION: Hispanics and African Americans in NYC seem to be disproportionately affected by the COVID-19 pandemic because of the higher incidence of mortality rates. Obesity may have played a role in the high incidence of mortality in those ethnic groups.

Title: The Influence of Contextual Factors on the Initial Phases of the COVID-19 Outbreak across U.S. Counties Content: Objectives: The COVID-19 pandemic in early 2020 poses an unprecedented threat to the health and economic prosperity of the world's population. Given incomplete reporting of contextual disaggregation in cumulative case data reported by health departments in the U.S., this research links county- and state-level characteristics to the COVID-19 outbreak. Methods: A statistical exponential growth model is estimated to describe the outbreak rate using publicly available county-level outbreak data. County- and state-level effects are simultaneously tested with a multilevel linear model using full maximum likelihood. Results: Mirroring findings from international cultural research, collectivism as a value is positively associated with the outbreak rate. The racial and ethnic composition of counties contributes to differences in the outbreak, with Black/African and Asian Americans being more affected. As expected, counties with a higher median age have a stronger outbreak, and so do counties with more people below the age of 18. Higher income, education, and personal health are generally associated with a lower outbreak. Contrariwise, obesity is negatively and significantly related to the outbreak, in agreement with the value expectancy concepts of the health belief model. Smoking is negatively related, but only directionally informative. Air pollution is another significant contributor to the outbreak, but population density does not give statistical significance. Conclusions: The results show that contextual factors influence the initial outbreak of COVID-19. Because of a high intrastate and intercounty variation in these factors, policy makers need to look at pandemics from the smallest subdivision possible, so that countermeasures can be implemented effectively.

Title: A DISSYMMETRY IN THE FIGURES RELATED TO THE COVID-19 PANDEMIC IN THE WORLD: WHAT FACTORS EXPLAIN THE DIFFERENCE BETWEEN AFRICA AND THE REST OF THE WORLD? Content: Humanity has experienced outbreaks for millennia, from epidemics limited to pandemics that have claimed many victims and changed the course of civilizations. The advent of vaccines has eradicated some of the serious pathogens and reduced many others. However, pandemics are still part of our modern world, as we continue to have pandemics as devastating as HIV and as alarming as severe acute respiratory syndrome, Ebola and the Middle East respiratory syndrome. The Covid-19 epidemic with 0-exponential contamination curves reaching 3 million confirmed cases should not have come as a surprise, nor should it have been the last pandemic in the world. In this article, we try to summarize the lost opportunities as well as the lessons learned, hoping that we can do better in the future. The objective of this study is to relate the situation of Covid-19 in African countries with those of the countries most affected by the pandemic. It also allows us to verify how, according to the observed situation, the African ecosystem seems to be much more resilient compared to that of other continents where the number of deaths is in the thousands. To verify this, the diagnosed morbidity and mortality reported for different states of the world are compared to the ages of life and the average annual temperature of these states. The results show that the less dramatic balance of the African continent compared to other continents is partly linked to the relatively high temperatures on the continent but also to the relatively young character of its population.

Title: Sickle cell trait and the potential risk of severe coronavirus disease 2019—A mini‐review Content: Coronavirus Disease 2019 (COVID‐19) pandemic is a rapidly evolving public health problem. The severity of COVID‐19 cases reported hitherto has varied greatly from asymptomatic to severe pneumonia and thromboembolism with subsequent mortality. An improved understanding of risk factors for adverse clinical outcomes may shed some light on novel personalized approaches to optimize clinical care in vulnerable populations. Emerging trends in the United States suggest possibly higher mortality rates of COVID‐19 among African Americans, although detailed epidemiological study data is pending. Sickle cell disease (SCD) disproportionately affects Black/African Americans in the United States as well as forebearers from sub‐Saharan Africa, the Western Hemisphere (South America, the Caribbean, and Central America), and some Mediterranean countries. The carrier frequency for SCD is high among African Americans. This article underscores the putative risks that may be associated with COVID‐19 pneumonia in sickle cell trait as well as potential opportunities for individualized medical care in the burgeoning era of personalized medicine.

Title: Racial, Economic and Health Inequality and COVID-19 Infection in the United States Content: Abstract Background: There is preliminary evidence of racial and social-economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health and economic inequality in the United States. Methods: We performed a cross-sectional study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic and mobility variables from 369 counties (total population: 102,178,117 [median: 73,447, IQR: 30,761-256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts). Findings: The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1,981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing. Interpretation: The observed inequality might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access. Keywords: Healthcare Disparities, Health Status Disparities, Socioeconomic Factors, COVID-19, Economic Inequality, Racial Disparity, United States, Population-Based Analysis.

Title: Higher Obesity Trends Among African Americans Are Associated with Increased Mortality in Infected COVID-19 Patients Within the City of Detroit Content: As the city of Detroit raids itself of deaths by shifting from homicides, COVID-19 infection continues to harrow the city with more deaths. From March 19 to May 15, more Detroiters died in 2 months than were killed in 2 years of city homicides. African Americans or Blacks (highest-risk phenotypes) developing COVID-19 infection are more likely to die disproportionately. The confluence of diabetes, hypertension, cardiovascular disease, and the higher prevalence of obesity among Blacks have provided the needed environment for viruses like COVID-19 to thrive and cause serious infections. The purpose of this study is to connect mortality rates from COVID-19 infection to increasing obesity trends among African Americans within the city of Detroit. Statistical analyses were conducted using SPSS ver. 23. Results showed that the highest mortality rates among African Americans occurred more in the obese individuals infected with COVID-19 in the city of Detroit. Out of 1930 deaths from COVID-19 infections, 733 deaths were due to obesity alone in patients without reported comorbid conditions like diabetes, hypertension, and cardiovascular disease. Mortality rate for both male and female African Americans amounted to a total of 11.9%. Thirty-eight percent of reported COVID-19-infected African Americans were obese. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s42399-020-00385-y) contains supplementary material, which is available to authorized users.

Title: Strong Effects of Population Density and Social Characteristics on Distribution of COVID-19 Infections in the United States Content: Coronavirus disease 2019 (Covid-19) has devastated global populations and has had a large impact in the United States with the number of infections and deaths growing exponentially. Using a smooth generalized additive model with quasipoisson counts for total infections and deaths, we developed a county-level predictive model that included population demographics, social characteristics, social distancing, and testing data. This model strongly predicted the actual US distribution of Covid-19, accounting for 94.8% of spatial-temporal variation in total infections and 99.3% in Covid-19 related fatalities from March 15, 2020. US counties with higher population density, poverty index, civilian population, and minorities, especially African Americans had a higher number of confirmed infections adjusted for county population. Social distancing measured by the change in the rate of human encounter per km2 relative to pre-covid-19 national average was associated with slower rate of Covid-19 infections, whereas higher testing was associated with higher number of infections. The number of people infected was increasing, however, the rate of increase in new infections was starting to show signs of plateauing starting from the second week of April. Our model projects 2.11 million people to test positive for Covid-19 and 122,951 fatalities by June 1, 2020. Importantly, our model suggests strong social differences in the infections and deaths across US communities, and inequities in areas with larger African American minorities and higher poverty index expected to show higher rates of Covid-19 infections and deaths. Preventive steps including social distancing and community closures have been a cornerstone in stopping the transmission and potentially reducing the spread of the disease. Crucial knowledge of the role of social characteristics in the disease transmission is essential to understand current disease distribution, predict future distribution, and plan additional preventive steps.

Title: Are Clinicians Contributing to Excess African American COVID-19 Deaths? Unbeknownst to Them, They May Be Content: African Americans are overrepresented among reported coronavirus disease 2019 (COVID-19) cases and deaths. There are a multitude of factors that may explain the African American disparity in COVID-19 outcomes, including higher rates of comorbidities. While individual-level factors predictably contribute to disparate COVID-19 outcomes, systematic and structural factors have not yet been reported. It stands to reason that implicit biases may fuel the racial disparity in COVID-19 outcomes. To address this racial disparity, we must apply a health equity lens and disaggregate data explicitly for African Americans, as well as other populations at risk for biased treatment in the health-care system.

Title: African American children are at higher risk for COVID‐19 infection Content: Infection by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), the viral etiology of the novel coronavirus disease 2019 (COVID‐19), was first reported in Wuhan, China in late 2019. Peculiarly, the virus has not caused significant impact on pediatric populations, unlike other coronaviruses (1). Children comprise only 1.7% of COVID‐19 positive cases in the United States (2). Furthermore, children are noted to have a milder disease course (3, 4). However, much is unknown about the age, gender and race risk factors of COVID‐19 among children. There has been recent evidence suggestive of higher rates of COVID‐19 and related fatality rates in African American adult communities around the United States(5). However, there is limited data, to our knowledge, whether any race or ethnicity group is at higher risk for COVID‐19 infection in children.

Title: Disproportionate COVID-19 Related Mortality Amongst African Americans in Four Southern States in the United States Content: Background African American have been severely affected by COVID-19 noted with the rising mortality rates within the African American community. Health disparities, health inequities and issues with systemic health access are some of the pre-existing issues African American were subjected to within the southern states in the United States. Second, social distancing is a critical non-pharmacological intervention to reduce the spread of COVID-19. However, social distancing was not practical and presented a challenge within the African American community, specifically, in the southern states. Objective This article assesses the effect of COVID-19 on African American in the southern states. Methodology This short communication queried the publicly available Department of Health statistics on COVID-19 related mortality and underlying health conditions in four southern states (Alabama [AL], Georgia [GA], Louisiana [LA] and Mississippi [MS]) with a high proportion of African American residents. Second, unacast COVID-19 toolkit was used to derive a social distancing (SD) grade for any given state, based on three different metrics: (i) percent change in average distance travelled (ii) percent change in non-essential visits and (iii) decrease in human encounters (compared to national baseline). Results Across the four states, on average, as many as 54% of COVID-19 related deaths are in the African American community, although this minority group comprises only 32% of the population cumulatively. This article finds that all four southern states received a social distancing grade of F. COVID-19 have demonstrated that adverse outcomes are higher in individuals with underlying health conditions such as diabetes, cardiovascular diseases, or pre-existing pulmonary compromise. Conclusion Recognizing that there is a great need for African American representation or diversity in the health workforce would be able to better address the health disparities. In addition, the lack of diversity in the healthcare system causes the morbidity and mortality rates to increase in the African American communities because it is not able to address its primary obligations within the African American communities in the southern states during COVID-19 pandemic. These primary obligations are to restore, protect, improve health and to suppress health disparities and inequalities of COVID-19 within in the African American communities. Keywords: COVID-19; African American; Mortality

Title: Blacks/African Americans are 5 Times More Likely to Develop COVID-19: Spatial Modeling of New York City ZIP Code-level Testing Results Content: Introduction. The population and spatial characteristics of COVID-19 infections are poorly understood, but there is increasing evidence that in addition to individual clinical factors, demographic, socioeconomic and racial characteristics play an important role. Methods. We analyzed positive COVID-19 testing results counts within New York City ZIP Code Tabulation Areas (ZCTA) with Bayesian hierarchical Poisson spatial models using integrated nested Laplace approximations. Results. Spatial clustering accounted for approximately 32% of the variation in the data, with hot spots in all five boroughs. Spatial risk did not correspond precisely to population-based rates of positive tests. The strongest univariate association with positive testing rates was the proportion of residents in a ZIP Code Tabulation Area with Chronic Obstructive Pulmonary Disease (COPD). For every one unit increase in a scaled standardized measure of COPD in a community, there was an approximate 8-fold increase in the risk of a positive COVID-19 test in a ZCTA (Incidence Density Ratio = 8.2, 95% Credible Interval 3.7, 18.3). The next strongest association was with the proportion of Black and African American residents, for which there was a nearly five-fold increase in the risk of a positive COVID-19 test. (IDR = 4.8, 95% Cr I 2.4, 9.7). Increases in the proportion of residents older than 65, housing density and the proportion of residents with heart disease were each associated with an approximate doubling of risk. In a multivariable model including estimates for age, COPD, heart disease, housing density and Black/African American race, the only variables that remained associated with positive COVID-19 testing with a probability greater than chance were the proportion of Black/African American residents and proportion of older persons. Conclusions. The population and spatial patterns of COVID-19 infections differ by race, age, physical environment and health status. Areas with large proportions of Black/African American residents are at markedly higher risk that is not fully explained by characteristics of the environment and pre-existing conditions in the population.

Title: Molecular mechanisms for thrombosis risk in Black people: a role in excess mortality from COVID‐19 Content: We read with interest your recent article by Fogarty et al, in particular their conclusion that differences in thrombotic risk may contribute to ethnic disparities in mortality from Covid-19.(1) This is especially important in the UK, where age-sex adjusted hospital death rates for Covid-19 are 2.17 times higher for people with ethnicity recorded as black compared to those recorded as white, and 1.95 higher for those recorded as Asian.(2) This excess mortality persists after adjustment for deprivation, body mass index (BMI), smoking and comorbidities,(2) and despite correction for region, rural or urban living, deprivation, household composition, socioeconomic status, and health.(3) Similar data from the USA shows that in 14 states, African-Americans represent 33% of hospitalisations for Covid-19, despite only making up 14% of the catchment population.(4) Black ethnicity is a construct incorporating diverse populations of African descent. Studies from several communities labelled as black, in particular African-Americans, imply a common increase in thrombotic risk, which may contribute to unexplained ethnic disparities in the UK and USA in Covid-19.

Title: Impact of essential workers in the context of social distancing for epidemic control Content: Many governments have responded to the ongoing COVID-19 pandemic by imposing social policies that restrict interactions outside of the home, resulting in a large fraction of the workforce either working from home or not working. However, to maintain essential services, a substantial number of workers are not subject to these limitations, and maintain many of their pre-intervention interactions. To explore how interactions among such "essential" workers, and between essential workers and the rest of the population, impact disease risk and the effectiveness of pandemic control, we evaluated several models of essential worker interactions within a standard epidemiology framework. The models were designed to correspond to key characteristics of, respectively, cashiers, factory employees, and healthcare workers. We find in all three models that essential workers are at substantially elevated risk of infection compared to the rest of the population, and that increasing the numbers of essential workers necessitates the imposition of more stringent interaction controls on the rest of the population in order to manage the pandemic. However, different archetypes of essential workers differ in both their individual probability of infection and impact on the broader pandemic, highlighting the need to understand and target for intervention the specific risks faced by different groups of essential workers.

Title: Reparations for Black American Descendants of Persons Enslaved in the U.S. and Their Estimated Impact on SARS-CoV-2 Transmission Content: Background In the United States, Black Americans are suffering from significantly disproportionate incidence and mortality rates of COVID-19. The potential for racial-justice interventions, including reparations payments, to ameliorate these disparities has not been adequately explored. Methods We compared the COVID-19 time-varying Rt curves of relatively disparate polities in terms of social equity (South Korea vs. Louisiana). Next, we considered a range of reproductive ratios to back-calculate the transmission rates {beta}i[->]j for 4 cells of the simplified next-generation matrix (from which R0 is calculated for structured models) for the outbreak in Louisiana. Lastly, we modeled the effect that monetary payments as reparations for Black American descendants of persons enslaved in the U.S. would have had on pre-intervention {beta}i[->]j. Results Once their respective epidemics begin to propagate, Louisiana displays Rt values with an absolute difference of 1.3 to 2.5 compared to South Korea. It also takes Louisiana more than twice as long to bring Rt below 1. We estimate that increased equity in transmission consistent with the benefits of a successful reparations program (reflected in the ratio {beta}b[->]b / {beta}w[->]w) could reduce R0 by 31 to 68%. Discussion While there are compelling moral and historical arguments for racial injustice interventions such as reparations, our study describes potential health benefits in the form of reduced SARS-CoV-2 transmission risk. As we demonstrate, a restitutive program targeted towards Black individuals would not only decrease COVID-19 risk for recipients of the wealth redistribution; the mitigating effects would be distributed across racial groups, benefitting the population at large.

Title: Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants. Content: Recent evidence has highlighted the health inequalities in sleep behaviors and sleep disorders that adversely affect outcomes in select populations, including African-American and Hispanic-American subjects. Race-related sleep health inequalities are ascribed to differences in multilevel and interlinked health determinants, such as sociodemographic factors, health behaviors, and biology. African-American and Hispanic-American subjects are admixed populations whose genetic inheritance combines two or more ancestral populations originating from different continents. Racial inequalities in admixed populations can be parsed into relevant groups of mediating factors (environmental vs genetic) with the use of measures of genetic ancestry, including the proportion of an individual's genetic makeup that comes from each of the major ancestral continental populations. This review describes sleep health inequalities in African-American and Hispanic-American subjects and considers the potential utility of ancestry studies to exploit these differences to gain insight into the genetic underpinnings of these phenotypes. The inclusion of genetic approaches in future studies of admixed populations will allow greater understanding of the potential biological basis of race-related sleep health inequalities.

Title: The potential effect of the African population age structure on COVID-19 mortality Content: Currently (mid May 2020), most active cases of COVID-19 are found in Europe and North America while it is still in the initial phases in Africa. As COVID-19 mortality occurs mainly in elderly and as Africa has a comparably young population, the death rates should be lower than on other continents. We calculated standardised mortality ratios (SMR) using age-specific case fatality rates for COVID-19 and the age structure of the population of Africa and of other continents. Compared to a European or Northern American population, the standardised mortality ratio was only 0.22 and 0.25, respectively, corresponding to reduction of deaths rates to a quarter. Compared to the Asian and Latin American & Caribbean population, the SMR was 0.43 and 0.44, respectively, corresponding to half the death rate for Africa. It is useful to quantify the isolated effect of the African age-structure on potential COVID-19 mortality for illustrative and communication purposes, keeping in mind the importance of public health measures that have been shown to be effective in reducing cases and deaths. The different aspect of age pyramids of a European and an African population are striking and the potential implications for the pandemic are often discussed but rarely quantified.

Title: Coronavirus Disease Health Care Delivery Impact on African Americans Content: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over 1.5 million individuals and led to over 91, 000 deaths in the United States (US) alone as of May 20th, 2020. Minority populations, however, continue to be a high-risk population to contract the SARS-CoV-2 infection. While socioeconomic inequality may help to explain why minority ethnic populations are contracting the SARS-CoV-2 in larger proportions, the reason for elevated mortality rates in African Americans is still unknown. African Americans are less likely than whites to utilize high-quality hospitals, ambulatory care services, and regular primary care providers; this is most likely a result of barriers to accessing high quality treatment, as African Americans have substantially higher uninsured rates. However, previous reports have shown that regardless of insurance status, African Americans are more likely to be directed toward lower quality treatment plans compared to their white counterparts, and that physicians carry implicit biases that negatively impact treatment regimens for these minority populations. While income, education, and access to healthcare should be revised in due time, in the short term physicians should do everything possible to learn about implicit biases that may exist in healthcare, as the first step to minimize implicit biases is to recognize that they exist.

Title: COVID-19 in Multiple Sclerosis Patients and Risk Factors for Severe Infection Content: Importance: Multiple sclerosis patients have been considered a higher-risk population for COVID-19 due to the high prevalence of disability and disease-modifying therapy use; however, no study has identified clinical characteristics of multiple sclerosis associated with worse COVID-19 outcomes. Objective: To evaluate the clinical characteristics of multiple sclerosis, including staging, degree of disability, and disease-modifying therapy use that are associated with worse outcomes from COVID-19. Design: Prospective cohort study looking at the outcomes of multiple sclerosis patients with COVID-19 between March 1st and May 18th, 2020. Setting: This is a multicenter study of three distinct hospital systems within the U.S. Participants: The study included 40 consecutive patients with nasopharyngeal/oropharyngeal PCR-confirmed COVID-19 infection. Exposures: Multiple sclerosis staging, severe disability (based on baseline-extended disability status scale equal to or greater than 6.0) and disease-modifying therapy. Main Outcomes and Measure: Severity of COVID-19 infection was based on hospital course, where a mild course was defined as the patient not requiring hospital admission, moderate severity was defined as the patient requiring hospital admission to the general floor only, and most severe was defined as requiring intensive care unit admission and/or death. Results: For the 40 patients, the median age was 52(45.5-61) years, 16/40(40%) were male, and 21/40(52.5%) were African American. 19/40(47.5%) had mild courses, 15/40(37.5%) had moderate courses, and 6/40(15%) had severe courses. Patients with moderate and severe courses were significantly older than those with a mild course (57[50-63] years old and 66[58.8-69.5] years old vs 48[40-51.5] years old, P=0.0121, P=0.0373). There was differing prevalence of progressive multiple sclerosis staging in those with more severe courses (severe:2/6[33.3%]primary-progressing and 0/6[0%]secondary-progressing, moderate:1/14[7.14%] and 5/14[35.7%] vs mild:0/19[0%] and 1/19[5.26%], P=0.0075, 1 unknown). Significant disability was found in 1/19(5.26%) mild course-patients, but was in 9/15(60%, P=0.00435) of moderate course-patients and 2/6(33.3%, P=0.200) of severe course-patients. Disease-modifying therapy prevalence did not differ among courses (mild:17/19[89.5%], moderate:12/15[80%] and severe:3/6[50%], P=0.123). Conclusions and Relevance: Multiple sclerosis patients with more severe COVID-19 courses tended to be older, were more likely to suffer from progressive staging, and had a higher degree of disability. However, disease-modifying therapy use was not different among courses.

Title: Social and psychological consequences of the COVID-19 pandemic in African-American communities: Lessons from Michigan Content: The mental health consequences of the COVID-19 pandemic are particularly relevant in African-American communities because African-Americans have been disproportionately impacted by the disease, yet they are traditionally less engaged in mental health treatment compared with other racial groups. Using the state of Michigan as an example, we describe the social and psychological consequences of the pandemic on African-American communities in the United States, highlighting community members' concerns about contracting the disease, fears of racial bias in testing and treatment, experiences of sustained grief and loss, and retraumatization of already-traumatized communities. Furthermore, we describe the multilevel, community-wide approaches that have been used thus far to mitigate adverse mental health outcomes within our local African-American communities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Social and psychological consequences of the COVID-19 pandemic in African-American communities: Lessons from Michigan. Content: The mental health consequences of the COVID-19 pandemic are particularly relevant in African-American communities because African-Americans have been disproportionately impacted by the disease, yet they are traditionally less engaged in mental health treatment compared with other racial groups. Using the state of Michigan as an example, we describe the social and psychological consequences of the pandemic on African-American communities in the United States, highlighting community members' concerns about contracting the disease, fears of racial bias in testing and treatment, experiences of sustained grief and loss, and retraumatization of already-traumatized communities. Furthermore, we describe the multilevel, community-wide approaches that have been used thus far to mitigate adverse mental health outcomes within our local African-American communities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Optimized lockdown strategies for curbing the spread of COVID-19: A South African case study Content: To curb the spread of COVID-19, many governments around the world have implemented tiered lockdowns with varying degrees of stringency. Lockdown levels are typically increased when the disease spreads and reduced when the disease abates. A predictive control approach is used to develop optimized lockdown strategies for curbing the spread of COVID-19. These strategies are then applied to South African data. The South African case is of immediate interest as the number of confirmed infectious cases does not appear to have peaked yet (at the time of writing), while at the same time the South African government is busy reducing the degree of lockdown. An epidemiological model for the spread of COVID-19 in South Africa was previously developed, and is used in conjunction with a hybrid model predictive controller to optimize lockdown management under different policy scenarios. Scenarios considered include how flatten the curve to a level that the healthcare system can cope with, how to balance lives and livelihoods, and what impact the compliance of the population to the lockdown measures has on the spread of COVID-19.

Title: Why African Americans Are a Potential Target for COVID-19 Infection in the United States Content: Since the World Health Organization declared the coronavirus disease (COVID-19) outbreak a pandemic, significant changes have occurred in the United States as the infection spread reached and passed its exponential phase. A stringent analysis of COVID-19 epidemiologic data requires time and would generally be expected to happen with significant delay after the exponential phase of the disease is over and when the focus of the health care system is diverted away from crisis management. Although much has been said about high-risk groups and the vulnerability of the elderly and patients with underlying comorbidities, the impact of race on the susceptibility of ethnic minorities living in indigent communities has not been discussed in detail worldwide and specifically in the United States. There are currently some data on disparities between African American and Caucasian populations for COVID-19 infection and mortality. While health care authorities are reorganizing resources and infrastructure to provide care for symptomatic COVID-19 patients, they should not shy away from protecting the general public as a whole and specifically the most vulnerable members of society, such as the elderly, ethnic minorities, and people with underlying comorbidities.

Title: Making sense of the U.S. COVID-19 pandemic response: A policy regime perspective Content: On March 26, 2020, 3 months after Chinese authorities admitted to a novel coronavirus outbreak and 10 weeks after the first infection was documented on American soil, the U.S. led the world in COVID-19 cases. While the State Department touted the U.S. as “leading the world’s humanitarian and health assistance response to the COVID-19 pandemic,” media accounts more often applied terms like “muddled” and “confused.” In this essay, we step back to consider what it takes to bring about swift and coordinated action in pandemic response, and what has impeded such a response thus far in U.S. efforts to address COVID-19. Informed by a policy regime perspective, we argue that the response has been handicapped by deficient political commitment and unclear goals, dysfunctional institutional dynamics—from bureaucratic silos to mismatched institutions, and inertia from partisan and economic interests. We conclude that the incoherence of the U.S. response to date has further eroded its already undermined legitimacy, and more importantly, has helped engender negative feedback that threatens the near-term durability of response measures, with grave consequences.

Title: E-SHOPPING changes and the state of E-grocery shopping in the U.S. evidence from national travel and time use surveys Content: Abstract In spite of the popularity of e-shopping, only 16% of US adults have ordered groceries online, and 7 out of 10 of those who currently buy groceries online do so at most twice a month. Understanding the determinants of e-grocery shopping is important for grocers, supply chain managers, and urban planners. In this context, we first explore how deliveries from online shopping have been changing over time. From our analysis of the 2009 and 2017 National Household Travel Surveys, we found that online shopping has been embraced by increasingly diverse households, although income, education, and some racial/ethnic differences persist. Our analysis of the 2017 American Time Use Survey shows that Americans are 24 times more likely to shop for groceries in stores than online. Moreover, in-store grocery shoppers are more likely to be female and unemployed, but less likely to belong to younger generations, to have less than a college degree, or to be African American. The gender imbalance in grocery shopping is larger online than in stores, but e-grocery shoppers do not otherwise differ from the general population. Future travel and e-shopping surveys (especially for e-grocery) should combine time use and travel questions with retrospective questions about online purchases.

Title: Pseudo-Likelihood Based Logistic Regression for Estimating COVID-19 Infection and Case Fatality Rates by Gender, Race, and Age in California Content: In emerging epidemics, early estimates of key epidemiological characteristics of the disease are critical for guiding public policy. In particular, identifying high risk population subgroups aids policymakers and health officials in combatting the epidemic. This has been challenging during the coronavirus disease 2019 (COVID-19) pandemic, because governmental agencies typically release aggregate COVID-19 data as marginal summary statistics of patient demographics. These data may identify disparities in COVID-19 outcomes between broad population subgroups, but do not provide comparisons between more granular population subgroups defined by combinations of multiple demographics. We introduce a method that overcomes the limitations of aggregated summary statistics and yields estimates of COVID-19 infection and case fatality rates --- key quantities for guiding public policy related to the control and prevention of COVID-19 --- for population subgroups across combinations of demographic characteristics. Our approach uses pseudo-likelihood based logistic regression to combine aggregate COVID-19 case and fatality data with population-level demographic survey data to estimate infection and case fatality rates for population subgroups across combinations of demographic characteristics. We illustrate our method on California COVID-19 data to estimate test-based infection and case fatality rates for population subgroups defined by gender, age, and race and ethnicity. Our analysis indicates that in California, males have higher test-based infection rates and test-based case fatality rates across age and race/ethnicity groups, with the gender gap widening with increasing age. Although elderly infected with COVID-19 are at an elevated risk of mortality, the test-based infection rates do not increase monotonically with age. LatinX and African Americans have higher test-based infection rates than other race/ethnicity groups. The subgroups with the highest 5 test-based case fatality rates are African American male, Multi-race male, Asian male, African American female, and American Indian or Alaska Native male, indicating that African Americans are an especially vulnerable California subpopulation.

Title: Clinical Characteristics and Outcomes of Community- and Hospital-Acquired Acute Kidney Injury with COVID-19 in a US Inner City Hospital System Content: INTRODUCTION: Emerging data have described poor clinical outcomes from infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) among African American patients and those from underserved socioeconomic groups. We sought to describe the clinical characteristics and outcomes of acute kidney injury (AKI) in this special population. METHODS: This is a retrospective study conducted in an underserved area with a predominance of African American patients with coronavirus disease 2019 (COVID-19). Descriptive statistics were used to characterize the sample population. The onset of AKI and relation to clinical outcomes were determined. Multivariate logistic regression was used to determine factors associated with AKI. RESULTS: Nearly half (49.3%) of the patients with COVID-19 had AKI. Patients with AKI had a significantly lower baseline estimated glomerular filtration rate (eGFR) and higher FiO2 requirement and D-dimer levels on admission. More subnephrotic proteinuria and microhematuria was seen in these patients, and the majority had a pre-renal urine electrolyte profile. Patients with hospital-acquired AKI (HA-AKI) as opposed to those with community-acquired AKI (CA-AKI) had higher rates of in-hospital death (52 vs. 23%, p = 0.005), need for vasopressors (42 vs. 25%, p = 0.024), and need for intubation (55 vs. 25%, p = 0.006). A history of heart failure was significantly associated with AKI after adjusting for baseline eGFR (OR 3.382, 95% CI 1.121-13.231, p = 0.032). CONCLUSION: We report a high burden of AKI among underserved COVID-19 patients with multiple comorbidities. Those who had HA-AKI had worse clinical outcomes compared to those who with CA-AKI. A history of heart failure is an independent predictor of AKI in patients with COVID-19.

Title: Clinical Characteristics and Outcomes of Community- and Hospital-Acquired Acute Kidney Injury with COVID-19 in a US Inner City Hospital System Content: INTRODUCTION: Emerging data have described poor clinical outcomes from infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) among African American patients and those from underserved socioeconomic groups. We sought to describe the clinical characteristics and outcomes of acute kidney injury (AKI) in this special population. METHODS: This is a retrospective study conducted in an underserved area with a predominance of African American patients with coronavirus disease 2019 (COVID-19). Descriptive statistics were used to characterize the sample population. The onset of AKI and relation to clinical outcomes were determined. Multivariate logistic regression was used to determine factors associated with AKI. RESULTS: Nearly half (49.3%) of the patients with COVID-19 had AKI. Patients with AKI had a significantly lower baseline estimated glomerular filtration rate (eGFR) and higher FiO2 requirement and D-dimer levels on admission. More subnephrotic proteinuria and microhematuria was seen in these patients, and the majority had a pre-renal urine electrolyte profile. Patients with hospital-acquired AKI (HA-AKI) as opposed to those with community-acquired AKI (CA-AKI) had higher rates of in-hospital death (52 vs. 23%, p = 0.005), need for vasopressors (42 vs. 25%, p = 0.024), and need for intubation (55 vs. 25%, p = 0.006). A history of heart failure was significantly associated with AKI after adjusting for baseline eGFR (OR 3.382, 95% CI 1.121–13.231, p = 0.032). CONCLUSION: We report a high burden of AKI among underserved COVID-19 patients with multiple comorbidities. Those who had HA-AKI had worse clinical outcomes compared to those who with CA-AKI. A history of heart failure is an independent predictor of AKI in patients with COVID-19.

Title: COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan Medicine Content: Importance: Blacks/African-Americans are overrepresented in the number of COVID-19 infections, hospitalizations and deaths. Reasons for this disparity have not been well-characterized but may be due to underlying comorbidities or sociodemographic factors. Objective: To systematically determine patient characteristics associated with racial/ethnic disparities in COVID-19 outcomes. Design: A retrospective cohort study with comparative control groups. Setting: Patients tested for COVID-19 at University of Michigan Medicine from March 10, 2020 to April 22, 2020. Participants: 5,698 tested patients and two sets of comparison groups who were not tested for COVID-19: randomly selected unmatched controls (n = 7,211) and frequency-matched controls by race, age, and sex (n = 13,351). Main Outcomes and Measures: We identified factors associated with testing and testing positive for COVID-19, being hospitalized, requiring intensive care unit (ICU) admission, and mortality (in/out-patient during the time frame). Factors included race/ethnicity, age, smoking, alcohol consumption, healthcare utilization, and residential-level socioeconomic characteristics (SES; i.e., education, unemployment, population density, and poverty rate). Medical comorbidities were defined from the International Classification of Diseases (ICD) codes, and were aggregated into a comorbidity score. Results: Of 5,698 patients, (median age, 47 years; 38% male; mean BMI, 30.1), the majority were non-Hispanic Whites (NHW, 59.2%) and non-Hispanic Black/African-Americans (NHAA, 17.2%). Among 1,119 diagnosed, there were 41.2% NHW and 37.4% NHAA; 44.8% hospitalized, 20.6% admitted to ICU, and 3.8% died. Adjusting for age, sex, and SES, NHAA were 1.66 times more likely to be hospitalized (95% CI, 1.09-2.52; P=.02), 1.52 times more likely to enter ICU (95% CI, 0.92-2.52; P=.10). In addition to older age, male sex and obesity, high population density neighborhood (OR, 1.27 associated with one SD change [95% CI, 1.20-1.76]; P=.02) was associated with hospitalization. Pre-existing kidney disease led to 2.55 times higher risk of hospitalization (95% CI, 1.62-4.02; P<.001) in the overall population and 11.9 times higher mortality risk in NHAA (95% CI, 2.2-64.7, P=.004). Conclusions and Relevance: Pre-existing type II diabetes/kidney diseases and living in high population density areas were associated with high risk for COVID-19 susceptibility and poor prognosis. Association of risk factors with COVID-19 outcomes differed by race. NHAA patients were disproportionately affected by obesity and kidney disease.

Title: Seizing the Moment: Policy Advocacy to End Mass Incarceration in the Time of COVID-19. Content: The mass human and economic casualties wrought by the COVID-19 pandemic laid bare the deep inequities at the base of the disproportionate losses and suffering experienced by diverse U.S. populations. But the urgency and enormity of unmet needs requiring bold policy action also provided a unique opportunity to learn from and partner with community-based organizations that often are at the frontlines of such work. Following a review of Kingdon's model of the policy-making process, we illustrate how a partnership in a large California county navigated the streams in the policy-making process and used the window of opportunity provided by the pandemic to address a major public health problem: the incarceration of over 2 million people, disproportionately African American and Latinx, in overcrowded, unsafe jails, prisons, and detention centers. We highlight tactics and strategies used, challenges faced, and implications for health educators as policy advocates during and beyond the pandemic.

Title: Seizing the Moment: Policy Advocacy to End Mass Incarceration in the Time of COVID-19 Content: The mass human and economic casualties wrought by the COVID-19 pandemic laid bare the deep inequities at the base of the disproportionate losses and suffering experienced by diverse U.S. populations. But the urgency and enormity of unmet needs requiring bold policy action also provided a unique opportunity to learn from and partner with community-based organizations that often are at the frontlines of such work. Following a review of Kingdon's model of the policy-making process, we illustrate how a partnership in a large California county navigated the streams in the policy-making process and used the window of opportunity provided by the pandemic to address a major public health problem: the incarceration of over 2 million people, disproportionately African American and Latinx, in overcrowded, unsafe jails, prisons, and detention centers. We highlight tactics and strategies used, challenges faced, and implications for health educators as policy advocates during and beyond the pandemic.

Title: COVID-19-related Genes in Sputum Cells in Asthma. Relationship to Demographic Features and Corticosteroids Content: Rationale: Coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). ACE2 (angiotensin-converting enzyme 2), and TMPRSS2 (transmembrane protease serine 2) mediate viral infection of host cells. We reasoned that differences in ACE2 or TMPRSS2 gene expression in sputum cells among patients with asthma may identify subgroups at risk for COVID-19 morbidity.Objectives: To determine the relationship between demographic features and sputum ACE2 and TMPRSS2 gene expression in asthma.Methods: We analyzed gene expression for ACE2 and TMPRSS2, and for ICAM-1 (intercellular adhesion molecule 1) (rhinovirus receptor as a comparator) in sputum cells from 330 participants in SARP-3 (Severe Asthma Research Program-3) and 79 healthy control subjects.Measurements and Main Results: Gene expression of ACE2 was lower than TMPRSS2, and expression levels of both genes were similar in asthma and health. Among patients with asthma, male sex, African American race, and history of diabetes mellitus were associated with higher expression of ACE2 and TMPRSS2. Use of inhaled corticosteroids (ICS) was associated with lower expression of ACE2 and TMPRSS2, but treatment with triamcinolone acetonide did not decrease expression of either gene. These findings differed from those for ICAM-1, where gene expression was increased in asthma and less consistent differences were observed related to sex, race, and use of ICS.Conclusions: Higher expression of ACE2 and TMPRSS2 in males, African Americans, and patients with diabetes mellitus provides rationale for monitoring these asthma subgroups for poor COVID-19 outcomes. The lower expression of ACE2 and TMPRSS2 with ICS use warrants prospective study of ICS use as a predictor of decreased susceptibility to SARS-CoV-2 infection and decreased COVID-19 morbidity.

Title: Disparities in premature deaths from heart disease--50 States and the District of Columbia, 2001. Content: In 2001, heart disease accounted for approximately 29.0% of deaths among U.S. residents; 16.8% of those deaths occurred among persons aged <65 years. Although mortality rates from heart disease have decreased, the decline has not been uniform for all populations. One of the two overall national health objectives for 2010 is to eliminate health disparities among different segments of the U.S. population. To better understand these disparities, CDC analyzed death certificate data for premature deaths from heart disease occurring in 2001. This report summarizes the results of that analysis, which indicated that the proportion of premature heart disease deaths varied by state and was higher among blacks, American Indians/Alaska Natives (AI/ANs), Asians/Pacific Islanders (A/PIs), and Hispanics. Reducing premature death from heart disease and eliminating disparities will require preventing, detecting, treating, and controlling risk factors for heart disease in young and middle-aged adults.

Title: Contemporary and Future Concepts on Hypertension in African Americans: COVID-19 and Beyond Content: BACKGROUND: Cardiovascular disease related mortality is the leading cause of death in the United States, with hypertension being the most prevalent and potent risk factor. For decades hypertension has disproportionately affected African Americans, who also have a higher burden of associated comorbidities including diabetes and heart failure. METHODS: Current literature including guideline reports and newer studies on hypertension in African Americans in PubMed were reviewed. We also reviewed newer publications on the relationship between COVID-19 and cardiovascular disease. FINDINGS: While APOL1 has been theorized in the epidemiology of hypertension, the increased prevalence and associated risks are primarily due to environmental and lifestyle factors. These factors include poor diet, adverse lifestyle, and social determinants. Hypertension control can be achieved by lifestyle modifications such as low sodium diet, weight loss, and adequate physical activity. When lifestyle modifications alone do not adequately control hypertension, a common occurrence among African Americans who suffer with greater prevalence of resistant hypertension, pharmacological intervention is indicated. The efficacy of renal denervation, and the use of sodium-glucose cotransporter 2 and aminopeptidase A inhibitors, have been studied for treatment of resistant hypertension. Furthermore, the recent COVID-19 crisis has been particularly devastating among African Americans who demonstrate increased incidence and poorer health outcomes related to the disease. CONCLUSION: The disparities in outcomes, which are largely attributable to a greater prevalence of comorbidities such as hypertension and obesity, in addition to adverse environmental and socioeconomic factors, highlight the necessity of specialized clinical approaches and programs for African Americans to address longstanding barriers to equitable care.

Title: Singapore COVID-19 Pandemic Response as a Successful Model Framework for Low-Resource Health Care Settings in Africa? Content: The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus continues to spread and evolve across the planet. The crosscutting impacts of the virus, individual country responses to the virus, and the state of preparedness of local public health systems greatly vary across the world. The ostensibly late arrival of the virus in Africa has allowed learning, innovation, and adaptation of methods that have been successful in the early-hit countries. This article analyzes how Singapore has responded to the COVID-19 pandemic and proposes that adaptations of the Singapore pandemic response model would bode well for Africa's response to the COVID-19 pandemic in ways that also take into account regional differences in health care infrastructures, socioeconomic resilience, poverty, and the vast population diversity in the African continent. As the pandemic evolves, the lessons learned in Asia, in particular, and the emerging new experiences in African countries should inform, ideally in real time, how best to steer the world populations into safety, including those in low-resource health care settings. Finally, we note that the current COVID-19 pandemic is also a test for our collective ability to scale and surge public health in response to future and likely equally challenging zoonosis infections that jump from animals to humans, not to mention climate change-related planetary health calamities in the 21st century. Hence, what we learn effectively from the current COVID-19 pandemic shall have broad, enduring, and intergenerational relevance for the future of planetary heath and society.

Title: Disproportionate incidence of COVID-19 in African Americans correlates with dynamic segregation Content: Socio-economic disparities quite often have a central role in the unfolding of large-scale catastrophic events. One of the most concerning aspects of the ongoing COVID-19 pandemics is that it disproportionately affects people from Black and African American backgrounds creating an unexpected infection gap. Interestingly, the abnormal impact on these ethnic groups seem to be almost uncorrelated with other risk factors, including co-morbidity, poverty, level of education, access to healthcare, residential segregation, and response to cures. A proposed explanation for the observed incidence gap is that people from African American backgrounds are more often employed in low-income service jobs, and are thus more exposed to infection through face-to-face contacts, but the lack of direct data has not allowed to draw strong conclusions in this sense so far. Here we introduce the concept of dynamic segregation, that is the extent to which a given group of people is internally clustered or exposed to other groups, as a result of mobility and commuting habits. By analysing census and mobility data on more than 120 major US cities, we found that the dynamic segregation of African American communities is significantly associated with the weekly excess COVID-19 incidence and mortality in those communities. The results confirm that knowing where people commute to, rather than where they live, is much more relevant for disease modelling.

Title: COVID-19–related Genes in Sputum Cells in Asthma. Relationship to Demographic Features and Corticosteroids Content: Rationale: Coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). ACE2 (angiotensin-converting enzyme 2), and TMPRSS2 (transmembrane protease serine 2) mediate viral infection of host cells. We reasoned that differences in ACE2 or TMPRSS2 gene expression in sputum cells among patients with asthma may identify subgroups at risk for COVID-19 morbidity. Objectives: To determine the relationship between demographic features and sputum ACE2 and TMPRSS2 gene expression in asthma. Methods: We analyzed gene expression for ACE2 and TMPRSS2, and for ICAM-1 (intercellular adhesion molecule 1) (rhinovirus receptor as a comparator) in sputum cells from 330 participants in SARP-3 (Severe Asthma Research Program-3) and 79 healthy control subjects. Measurements and Main Results: Gene expression of ACE2 was lower than TMPRSS2, and expression levels of both genes were similar in asthma and health. Among patients with asthma, male sex, African American race, and history of diabetes mellitus were associated with higher expression of ACE2 and TMPRSS2. Use of inhaled corticosteroids (ICS) was associated with lower expression of ACE2 and TMPRSS2, but treatment with triamcinolone acetonide did not decrease expression of either gene. These findings differed from those for ICAM-1, where gene expression was increased in asthma and less consistent differences were observed related to sex, race, and use of ICS. Conclusions: Higher expression of ACE2 and TMPRSS2 in males, African Americans, and patients with diabetes mellitus provides rationale for monitoring these asthma subgroups for poor COVID-19 outcomes. The lower expression of ACE2 and TMPRSS2 with ICS use warrants prospective study of ICS use as a predictor of decreased susceptibility to SARS-CoV-2 infection and decreased COVID-19 morbidity.

Title: ACE2 coding variants in different populations and their potential impact on SARS-CoV-2 binding affinity Content: The susceptibility of different populations to the SARS-CoV-2 infection is not yet understood. A deeper analysis of the genomes of individuals from different populations might explain their risk for infection. In this study, a combined analysis of ACE2 coding variants in different populations and computational chemistry calculations are conducted in order to probe the potential effects of ACE2 coding variants on SARS-CoV-2/ACE2 binding affinity. Our study reveals novel interaction data on the variants and SARS-CoV-2. We could show that ACE2-K26R; which is more frequent in the Ashkenazi Jewish population decrease the electrostatic attraction between SARS-CoV-2 and ACE2. On the contrary, ACE2-I468V, R219C, K341R, D206G, G211R were found to increase the electrostatic attraction and increase the binding to SARS-CoV-2; ordered by the strength of binding from weakest to strongest. I468V, R219C, K341R, D206G and G211R were more frequent in East Asian, South Asian, African and African American, European and European and South Asian populations, respectively. SARS-CoV-2/ACE2 interface in the WT protein and corresponding variants is showed to be a dominated by van der Waals (vdW) interactions. All the mutations except K341R induce an increase in the vdW attractions between the ACE2 and the SARS-CoV-2. The largest increase of is observed for the R219C mutant.

Title: Disparities in COVID-19 Reported Incidence, Knowledge, and Behavior Content: Abstract Background: Data from the COVID-19 pandemic in the United States show large differences in hospitalizations and mortality across race and geography. However, there is limited data on health information, beliefs, and behaviors that might indicate different exposure to risk. Methods: A sample of 5,198 respondents in the United States (80% population representative, 20% oversample of hotspot areas in New York City, Seattle, New Orleans, and Detroit) was conducted from March 29th to April 13th to measure differences in knowledge, beliefs and behavior regarding COVID-19. Linear regression was used to understand racial, geographic, political, and socioeconomic differences in COVID-19 reported incidence knowledge, and behaviors after adjusting for state-specific and survey date fixed effects. Results: The largest differences in COVID-19 knowledge and behaviors are associated with race/ethnicity, gender, and age. African-Americans, men, and people <55 years old are less likely to know how the disease is spread, less likely to know symptoms of COVID-19, wash their hands less frequently, and leave the home more often. Differences by income, political orientation, and living in a hotspot area are much smaller. Conclusions: There are wide gaps in COVID-19 reported incidence, knowledge regarding disease spread and symptoms, and in social distancing behavior. The findings suggest more effort is needed to increase accurate information and encourage appropriate behaviors among minority communities, men, and younger people.

Title: Sickle Cell Trait and The Potential Risk of Severe Coronavirus Disease 2019- A Mini-Review Content: Coronavirus Disease 2019 (COVID-19) pandemic is a rapidly evolving public health problem. The severity of COVID-19 cases reported hitherto has varied greatly from asymptomatic to severe pneumonia and thromboembolism with subsequent mortality. An improved understanding of risk factors for adverse clinical outcomes may shed some light on novel personalized approaches to optimize clinical care in vulnerable populations. Emerging trends in the United States suggest possibly higher mortality rates of COVID-19 amongst African Americans, although detailed epidemiological study data is pending. Sickle Cell Disease (SCD) disproportionately affect Black/African Americans in the United States as well as forebearers from sub-Saharan Africa, the Western Hemisphere (South America, the Caribbean, and Central America) and some Mediterranean countries. The carrier frequency for SCD is high amongst African Americans. This article underscores the putative risks that may be associated with COVID-19 pneumonia in sickle cell trait as well as potential opportunities for individualized medical care in the burgeoning era of personalized medicine.

Title: Racial Variations in COVID‐19 Deaths May Be Due to Androgen Receptor Genetic Variants Associated with Prostate Cancer and Androgenetic Alopecia. Are Anti‐Androgens a Potential Treatment for COVID‐19? Content: Racial disparities in COVID‐19 infection rates and disease severity are due to a multifactorial etiology that can include socioeconomic as well as other factors. Nevertheless, genetic factors in different ethnic groups often contribute to disease severity and treatment response. In particular, the frequency of genetic variations in the androgen receptor differs by ethnicity and gender. For example, the increased prevalence of prostate cancer and androgenetic alopecia among African Americans correlates with the frequency of these variants. In this communication, we propose that androgens may be implicated in COVID‐19 disease severity. As such, special attention may need to be given to African Americans infected by the SARS‐CoV‐2 virus. Finally, if a link to genetic variations in the androgen receptor and COVID‐19 disease severity can be established, it would suggest new treatment options.

Title: Trading Privacy for the Greater Social Good: How Did America React During COVID-19? Content: Digital contact tracing and analysis of social distancing from smartphone location data are two prime examples of non-therapeutic interventions used in many countries to mitigate the impact of the COVID-19 pandemic. While many understand the importance of trading personal privacy for the public good, others have been alarmed at the potential for surveillance via measures enabled through location tracking on smartphones. In our research, we analyzed massive yet atomic individual-level location data containing over 22 billion records from ten Blue (Democratic) and ten Red (Republican) cities in the U.S., based on which we present, herein, some of the first evidence of how Americans responded to the increasing concerns that government authorities, the private sector, and public health experts might use individual-level location data to track the COVID-19 spread. First, we found a significant decreasing trend of mobile-app location-sharing opt-out. Whereas areas with more Democrats were more privacy-concerned than areas with more Republicans before the advent of the COVID-19 pandemic, there was a significant decrease in the overall opt-out rates after COVID-19, and this effect was more salient among Democratic than Republican cities. Second, people who practiced social distancing (i.e., those who traveled less and interacted with fewer close contacts during the pandemic) were also less likely to opt-out, whereas the converse was true for people who practiced less social-distancing. This relationship also was more salient among Democratic than Republican cities. Third, high-income populations and males, compared with low-income populations and females, were more privacy-conscientious and more likely to opt-out of location tracking.

Title: Can Vitamin D and L-Cysteine Co-Supplementation Reduce 25(OH)-Vitamin D Deficiency and the Mortality Associated with COVID-19 in African Americans? Content: Early reports indicate an association between the severity of the COVID-19 infection and the widespread 25-hydroxy vitamin D deficiency known to exist in populations around the world. Vitamin D deficiency is extremely common among African American (AA) communities, where the COVID-19 infection rate is three-fold higher, and the mortality rate nearly six-fold higher, compared with rates in predominantly white communities. COVID-19 infection primarily affects the lungs and airways. Previous reports have linked 25-hydroxy vitamin D deficiency with subclinical interstitial lung disease. AA are at risk for lower cellular glutathione (GSH) levels, and GSH deficiency epigenetically impairs VD biosynthesis pathway genes. Compared with vitamin D alone, co-supplementation of vitamin D and L-cysteine (a GSH precursor) showed a better efficacy in improving levels of GSH and VD-regulatory genes at the cellular/tissue level, increasing 25(OH) vitamin D levels, and reducing inflammation biomarkers in the blood in mice studies. We propose that randomized clinical trials are needed to examine the potential of co-supplementation with anti-inflammatory antioxidants, vitamin D and L-cysteine in correcting the 25(OH)VD deficiency and preventing the 'cytokine storm,' one of the most severe consequences of infection with COVID-19, thereby preventing the adverse clinical effects of COVID-19 infection in the vulnerable AA population.

Title: Racial demographics and COVID-19 confirmed cases and deaths: a correlational analysis of 2886 US counties Content: BACKGROUND: Recent news reports state that racial minority groups, such as African–Americans, are experiencing a greater COVID-19 burden, as measured by confirmed cases and deaths. Limited racial data is available on a national level. METHODS: We conducted the first nationwide analysis to examine COVID-19 and race on a county level. We obtained datasets on COVID-19 cases and deaths, and racial population totals, by US county. We examined if correlations exist between the racial percentages and percentages of confirmed COVID-19 cases and deaths by county. RESULTS: A positive correlation existed between percentages of African–Americans living in a county and who have COVID-19 (r = 0.254, P < 0.0001), who have died from COVID-19 (r = 0.268, P < 0.0001), and case mortality (r = 0.055, P = 0.003). Positive correlations also existed between percentages of Asian–Americans living in counties and these factors. Negative correlations existed between percentages of Whites living in counties and these factors. CONCLUSIONS: A weak, albeit very significant, positive relationship exists between the percentage of African–Americans living in a county and the percentage of COVID-19 confirmed cases, confirmed deaths and case mortality in the county. This is in support of many city and statewide analyses, and we urge for targeted resources towards work that further examine these racial associations.

Title: Racial demographics and COVID-19 confirmed cases and deaths: a correlational analysis of 2886 US counties Content: BACKGROUND: Recent news reports state that racial minority groups, such as African-Americans, are experiencing a greater COVID-19 burden, as measured by confirmed cases and deaths. Limited racial data is available on a national level. METHODS: We conducted the first nationwide analysis to examine COVID-19 and race on a county level. We obtained datasets on COVID-19 cases and deaths, and racial population totals, by US county. We examined if correlations exist between the racial percentages and percentages of confirmed COVID-19 cases and deaths by county. RESULTS: A positive correlation existed between percentages of African-Americans living in a county and who have COVID-19 (r = 0.254, P < 0.0001), who have died from COVID-19 (r = 0.268, P < 0.0001), and case mortality (r = 0.055, P = 0.003). Positive correlations also existed between percentages of Asian-Americans living in counties and these factors. Negative correlations existed between percentages of Whites living in counties and these factors. CONCLUSIONS: A weak, albeit very significant, positive relationship exists between the percentage of African-Americans living in a county and the percentage of COVID-19 confirmed cases, confirmed deaths and case mortality in the county. This is in support of many city and statewide analyses, and we urge for targeted resources towards work that further examine these racial associations.

Title: What works and what does not work in response to COVID-19 prevention and control in Africa Content: Since the emergence of the COVID-19 pandemic in December 2019 in Wuhan, China, there have been nearly 6,663,304 confirmed cases of COVID-19, including 392,802 deaths, worldwide as of 10:00 CEST 06 June 2020. In Africa, 152,442 COVID-19 cases and 4334 deaths have been reported as of 02 June 2020. The five countries with the highest commutative number of cases in Africa are South Africa, Egypt, Nigeria, Algeria, and Ghana. Africa, and the rest of world, has had to swiftly undertake the necessary measures to protect the continent from irreversible effects of the COVID-19 pandemic that is claiming lives and destroying livelihoods. The lower number of COVID-19 cases in most African countries is attributed to inadequate health systems, low-to-absent testing capacity, poor reporting systems, and insufficient numbers of medical staff. The COVID-19 pandemic poses a great threat to most African countries, from cities to rural areas, and has created a strong demand on already scarce resources. Intense mobilization of additional resources is required to implement established emergency contingency measures. Measures to prevent the spread of COVID-19 include closure of borders and restricting movement of people within a country; this has resulted in the tourism sector being adversely affected by the loss of income. Cooperative prevention and control measures are one of the promising solutions to deplete the spread of COVID-19 on the continent.

Title: What works and what does not work in response to COVID-19 prevention and control in Africa Content: Abstract Since the emergence of the pandemic in December 2019 in Wuhan, China, as of 10:00 CEST, June 6, 2020, there have been nearly 6,663,304 confirmed cases of COVID-19 including 392,802 deaths worldwide. In Africa, as of June 2, 2020, a total of 152,442 COVID-19 cases and 4334 deaths have been reported. The five countries with the highest commutative number of cases in Africa are South Africa, Egypt, Nigeria, Algeria, and Ghana. Africa, together with the rest of world have had to swiftly undertake measures necessary to protect the continent from irreversible effects of the COVID-19 pandemic that is claiming lives and destroying livelihoods. The lower number of COVID-19 cases in most African countries is attributed to inadequate health systems, low-to-absent testing capacity, poor reporting system and insufficient number of medical staff. The COVID-19 pandemic poses a great threat to most African countries from cities to rural areas and has created a strong demand on already scarce resources and requires an intense mobilization of additional resources to implement established emergency contingency measures. Closure of borders and movements of people restrictions within the country as measures to prevent the spread of COVID-19; this has resulted in the sector being adversely affected by the loss of income. Cooperative prevention and control measures are one of the promising solutions to deplete the spread of COVID-19 on the continent.

Title: Comorbidities and Disparities in Outcomes of COVID-19 Among African American and White Patients Content: Initial surveillance data suggests a disproportionately high number of deaths among Black patients with COVID-19. However, high-risk comorbidities are often over-represented in the Black population, and understanding whether the disparity is entirely secondary to them is essential. We performed a retrospective cohort study using real-time analysis of electronic medical records (EMR) of patients from multiple healthcare organizations in the United States. Our results showed that Black patients with COVID-19 have a significantly higher risk of mortality, hospitalization, and invasive mechanical ventilation compared to White patients. The incremental risk of poor outcomes in Blacks persists despite accounting for a higher prevalence of comorbidities. This may point to the disparities in socioeconomic determinants of health affecting Blacks and the need for an improvement in the care of this vulnerable population.

Title: Social Equity and COVID‐19: The Case of African Americans Content: Emerging statistics demonstrate that COVID‐19 disproportionately affects African Americans. The effects of COVID‐19 for this population are inextricably linked to areas of systemic oppression and disenfranchisement, which are further exacerbated by COVID‐19: (1) healthcare inequality; (2) segregation, overall health, and food insecurity; (3) underrepresentation in government and the medical profession; and (4) inequalities in participatory democracy and public engagement. Following a discussion of these issues, this article shares early and preliminary lessons and strategies on how public administration scholars and practitioners can lead in crafting equitable responses to this global pandemic to uplift the African American community. This article is protected by copyright. All rights reserved.

Title: Preliminary evaluation of COVID-19 disease outcomes, test capacities and management approaches among African countries. Content: Background: Following the declaration of COVID-19 as a global pandemic and the report of index case in Africa, the number of countries in Africa with confirmed cases of the infection has grown tremendously with disease now being reported in almost all countries on the continent, with the exemption of Lesotho after 75 days. It is therefore necessary to evaluate the disease outcomes among the African countries as the situation unfolds for early identification of best practices for adoption. Methods: In this study, COVID-19 disease outcomes (confirmed cases, deaths and recoveries), testing capacities and disease management approaches among African countries were evaluated. The relationship between COVID-19 infections in African countries and their performance on global resilient indices including the Human Development Index (HDI), performance on Sustainable Development Goals (SDGs) and the Global Risk Index (GRI) were also examined. Data acquired from various standard databases were evaluated over a period of 75 days from the date of reporting the index case. Results: This study has revealed compelling spatial differences in the incidence, deaths and recoveries from COVID-19 among African countries. Egypt, South Africa, Morocco and Algeria were clustered as countries with highest values of COVID-19 disease outcomes on the continent during the 75-day period of observation. The cluster analysis and comparison of countries in terms of percentage recovered cases of confirmed infections revealed that Mauritius, Mauritania, Gambia, Burkina Faso, Madagascar, Togo and Uganda had the highest scores. Comparative analysis of COVID-19 across the world revealed that the parameters were relatively inconsequential in Oceania and Africa continents, while Europe, North America and Asia had significantly higher cases of disease outcomes. For COVID-19 testing capacities, South Africa, Ghana and Egypt are leading in total number of tests carried out. However when the number of tests carried out were related to population number of the countries, Djibouti, Mauritius, Ghana and South Africa are found to be the leading countries. With respect to management of the disease in Africa, all the countries adopted the WHO protocols, personal hygiene, economic palliatives and social distancing measures. Only three countries in Africa (Madagascar, Togo and Burkina Faso) had a state supported initiative to utilise traditional medicines or herbs as alternatives to control COVID-19. Additionally, most of the countries are providing prompt treatment of the patients with a range of drugs especially Hydroxychloroquine, Chloroquine and Chloroquine-Azithromycin combination. The study found that no strong relationship currently exists between the global resilient indicators (HDI, SDG and GRI) and COVID-19 cases across Africa. Conclusions: This study has revealed compelling spatial differences in disease outcomes among African countries and also found testing capacities for COVID-19 to be abysmally low in relation to the population. During the 75 days of observation, African countries have recorded significantly low number of deaths associated with COVID-19 and relatively high recovery rates. Countries in Africa with higher rate of recovery from the disease were found to have adopted strict adherence to some of WHO protocol to contain the disease, isolate all those who test positive to the disease and provide prompt treatment of the patients with a range of drugs especially Hydroxychloroquine, Chloroquine and Chloroquine-Azithromycin combination. The study recommends that the approaches adopted by the African countries which achieved high recovery rates from COVID-19 should be integrated into healthcare management plans for the disease across the continent even as the situation unfolds.

Title: National age and coresidence patterns shape COVID-19 vulnerability Content: Based on harmonized census data from 81 countries, we estimate how age and coresidence patterns shape the vulnerability of countries' populations to outbreaks of coronavirus disease 2019 (COVID-19). We estimate variation in deaths arising due to a simulated random infection of 10% of the population living in private households and subsequent within-household transmission of the virus. The age structures of European and North American countries increase their vulnerability to COVID-related deaths in general. The coresidence patterns of elderly persons in Africa and parts of Asia increase these countries' vulnerability to deaths induced by within-household transmission of COVID-19. Southern European countries, which have aged populations and relatively high levels of intergenerational coresidence, are, all else equal, the most vulnerable to outbreaks of COVID-19. In a second step, we estimate to what extent avoiding primary infections for specific age groups would prevent subsequent deaths due to within-household transmission of the virus. Preventing primary infections among the elderly is the most effective in countries with small households and little intergenerational coresidence, such as France, whereas confining younger age groups can have a greater impact in countries with large and intergenerational households, such as Bangladesh.

Title: National age and coresidence patterns shape COVID-19 vulnerability. Content: Based on harmonized census data from 81 countries, we estimate how age and coresidence patterns shape the vulnerability of countries' populations to outbreaks of coronavirus disease 2019 (COVID-19). We estimate variation in deaths arising due to a simulated random infection of 10% of the population living in private households and subsequent within-household transmission of the virus. The age structures of European and North American countries increase their vulnerability to COVID-related deaths in general. The coresidence patterns of elderly persons in Africa and parts of Asia increase these countries' vulnerability to deaths induced by within-household transmission of COVID-19. Southern European countries, which have aged populations and relatively high levels of intergenerational coresidence, are, all else equal, the most vulnerable to outbreaks of COVID-19. In a second step, we estimate to what extent avoiding primary infections for specific age groups would prevent subsequent deaths due to within-household transmission of the virus. Preventing primary infections among the elderly is the most effective in countries with small households and little intergenerational coresidence, such as France, whereas confining younger age groups can have a greater impact in countries with large and intergenerational households, such as Bangladesh.

Title: National age and co-residence patterns shape covid-19 vulnerability Content: Based on harmonized census data from 81 countries, we estimate how age and co-residence patterns shape the vulnerability of countries' populations to outbreaks of covid-19. We estimate variation in deaths arising due to a simulated random infection of 10% of the population living in private households and subsequent within-household transmission of the virus. The age-structures of European and North American countries increase their vulnerability to covid-related deaths in general. The co-residence patterns of elderly persons in Africa and parts of Asia increase these countries' vulnerability to deaths induced by within-household transmission of covid-19. Southern European countries, which have aged populations and relatively high levels of intergenerational co-residence are, all else equal, the most vulnerable to outbreaks of covid-19. In a second step, we estimate to what extent avoiding primary infections for specific age-groups would prevent subsequent deaths due to within-household transmission of the virus. Preventing primary infections among the elderly is the most effective in countries with small households and little intergenerational co-residence such as France, whereas confining younger age groups can have a greater impact in countries with large and inter-generational households such as Bangladesh.

Title: Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? Content: As we reach the apex of the COVID-19 pandemic, the most pressing question facing us is: can we even partially reopen the economy without risking a second wave? We first need to understand if shutting down the economy helped. And if it did, is it possible to achieve similar gains in the war against the pandemic while partially opening up the economy? To do so, it is critical to understand the effects of the various interventions that can be put into place and their corresponding health and economic implications. Since many interventions exist, the key challenge facing policy makers is understanding the potential trade-offs between them, and choosing the particular set of interventions that works best for their circumstance. In this memo, we provide an overview of Synthetic Interventions (a natural generalization of Synthetic Control), a data-driven and statistically principled method to perform what-if scenario planning, i.e., for policy makers to understand the trade-offs between different interventions before having to actually enact them. In essence, the method leverages information from different interventions that have already been enacted across the world and fits it to a policy maker's setting of interest, e.g., to estimate the effect of mobility-restricting interventions on the U.S., we use daily death data from countries that enforced severe mobility restrictions to create a"synthetic low mobility U.S."and predict the counterfactual trajectory of the U.S. if it had indeed applied a similar intervention. Using Synthetic Interventions, we find that lifting severe mobility restrictions and only retaining moderate mobility restrictions (at retail and transit locations), seems to effectively flatten the curve. We hope this provides guidance on weighing the trade-offs between the safety of the population, strain on the healthcare system, and impact on the economy.

Title: Determinants of COVID-19 Vaccine Acceptance in the U.S. Content: Background:The COVID-19 pandemic continues to adversely affect the U.S., which leads globally in total cases and deaths. As COVID-19 vaccines are under development, public health officials and policymakers need to create strategic vaccine-acceptance messaging to effectively control the pandemic and prevent thousands of additional deaths. Methods: Using an online platform, we surveyed the U.S. adult population in May 2020 to understand risk perceptions about the COVID-19 pandemic, acceptance of a COVID-19 vaccine, and trust in sources of information. These factors were compared across basic demographics. Findings: Of the 672 participants surveyed, 450 (67%) said they would accept a COVID-19 vaccine if it is recommended for them. Males (72%), older adults ([≥]55 years; 78%), Asians (81%), and college and/or graduate degree holders (75%) were more likely to accept the vaccine. When comparing reported influenza vaccine uptake to reported acceptance of the COVID-19 vaccine: 1) participants who did not complete high school had a very low influenza vaccine uptake (10%), while 60% of the same group said they would accept the COVID-19 vaccine; 2) unemployed participants reported lower influenza uptake and lower COVID-19 vaccine acceptance when compared to those employed or retired; and, 3) black Americans reported lower influenza vaccine uptake and lower COVID-19 vaccine acceptance than nearly all other racial groups. Lastly, we identified geographic differences with Department of Health and Human Services regions 2 (New York) and 5 (Chicago) reporting less than 50 percent COVID-19 vaccine acceptance. Interpretation: Although our study found a 67% acceptance of a COVID-19 vaccine, there were noticeable demographic and geographical disparities in vaccine acceptance. Before a COVID-19 vaccine is introduced to the U.S., public health officials and policymakers must prioritize effective COVID-19 vaccine-acceptance messaging for all Americans, especially those who are most vulnerable.

Title: A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine Content: Blacks/African Americans are overrepresented in the number of hospitalizations and deaths from COVID-19 in the United States, which could be explained through differences in the prevalence of existing comorbidities. We performed a disease-disease phenome-wide association study (PheWAS) using data representing 5,698 COVID-19 patients from a large academic medical center, stratified by race. We explore the association of 1,043 pre-occurring conditions with several COVID-19 outcomes: testing positive, hospitalization, ICU admission, and mortality. Obesity, iron deficiency anemia and type II diabetes were associated with susceptibility in the full cohort, while ill-defined descriptions/complications of heart disease and stage III chronic kidney disease were associated among non-Hispanic White (NHW) and non-Hispanic Black/African American (NHAA) patients, respectively. The top phenotype hits in the full, NHW, and NHAA cohorts for hospitalization were acute renal failure, hypertension, and insufficiency/arrest respiratory failure, respectively. Suggestive relationships between respiratory issues and COVID-19-related ICU admission and mortality were observed, while circulatory system diseases showed stronger association in NHAA patients. We were able to replicate some known comorbidities related to COVID-19 outcomes while discovering potentially unknown associations, such as endocrine/metabolic conditions related to hospitalization and mental disorders related to mortality, for future validation. We provide interactive PheWAS visualization for broader exploration.

Title: Heterogeneity in risk, testing and outcome of COVID-19 across outbreak settings in the Greater Toronto Area, Canada: an observational study Content: Background: We compared the risk of, testing for, and death following COVID-19 infection across three settings (long-term care homes (LTCH), shelters, the rest of the population) in the Greater Toronto Area (GTA), Canada. Methods: We sourced person-level data from COVID-19 surveillance and reporting systems in Ontario, and examined settings with population-specific denominators (LTCH residents, shelters, and the rest of the population). We calculated cumulatively, the diagnosed cases per capita, proportion tested for COVID-19, daily and cumulative positivity, and case fatality proportion. We estimated the age- and sex-adjusted relative rate ratios for test positivity and case fatality using quasi-Poisson regression. Results: Between 01/23/2020-05/25/2020, we observed a shift in the proportion of cases: from travel-related and into LTCH and shelters. Cumulatively, compared to the rest of the population, the number of diagnosed cases per 100,000 was 59-fold and 18-fold higher among LTCH and shelter residents, respectively. By 05/25/2020, 77.2% of LTCH residents compared to 2.4% of the rest of the population had been tested. After adjusting for age and sex, LTCH residents were 2.5 times (95% confidence interval (CI): 2.3-2.8) more likely to test positive. Case fatality was 26.3% (915/3485), 0.7% (3/402), and 3.6% (506/14133) among LTCH residents, shelter population, and others in the GTA, respectively. After adjusting for age and sex, case fatality was 1.4-fold (95%CI: 1.1-1.9) higher among LTCH residents than the rest of the population. Interpretation: Heterogeneity across micro-epidemics among specific populations in specific settings may reflect underlying heterogeneity in transmission risks, necessitating setting-specific COVID-19 prevention and mitigation strategies.

Title: DC-SIGN and DC-SIGNR genetic diversity among different ethnic populations: Potential implications for pathogen recognition and disease susceptibility Content: Dendritic cell–specific intracellular adhesion molecule-3–grabbing nonintegrin (DC-SIGN) and DC-SIGNR are C-type lectins that serve both as cell adhesion and pathogen recognition receptors. Because of the essential role of the these molecules in the immune response, the implication of their alleles in human disease states, and the possible genetic variation at these loci among ethnically diverse populations, we undertook a study to analyze the full extent of DC-SIGN and DC-SIGNR polymorphisms in Caucasian Canadian and indigenous African populations. We report several novel nucleotide variants within regulatory 5′- and 3′-untranslated regions of the genes that could affect their transcription and translation. There were significant differences in the distribution of DC-SIGN and DC-SIGNR alleles among African and non-African populations. Finally, our study clearly demonstrates that Africans show greater genetic diversity at these two closely-related immune loci than observed in other major population groups. The differences may reflect evolutionary pressures generated by environmental factors, such as prevalent pathogens in these geographically distinct regions. Further studies will be needed to determine the net impact of DC-SIGN and DC-SIGNR genetic variants on the expression, translation, and function of the proteins and to understand how these functional polymorphisms may affect immune responses or immune escape.

Title: Equitably Sharing the Benefits and Burdens of Research: Covid‐19 Raises the Stakes Content: One of the central principles of research ethics is that the benefits and burdens of research with human participants should be equitably distributed. This principle has important implications for where research will be conducted, how participants will be recruited, what questions will be investigated, and who will control the distribution of any innovations that result. In the context of Covid‐19, key issues include providing support to clinical trials in low‐ and middle‐income countries, without taking needed resources away from other critical clinical and public health needs; designing recruitment strategies likely to generate sufficient enrollment from groups that have been disproportionately burdened by the virus, such as African Americans; supporting studies designed to improve outcomes in high‐risk environments, such as nursing homes and group homes for the developmentally disabled; and ensuring that the medical products resulting from research are made available throughout the world at an affordable price. If clinical trials are not designed with equity considerations consciously in mind, the response to the pandemic may further exacerbate disparities in health status between population groups.

Title: Equitably Sharing the Benefits and Burdens of Research: Covid-19 Raises the Stakes Content: One of the central principles of research ethics is that the benefits and burdens of research with human participants should be equitably distributed. This principle has important implications for where research will be conducted, how participants will be recruited, what questions will be investigated, and who will control the distribution of any innovations that result. In the context of Covid-19, key issues include providing support to clinical trials in low- and middle-income countries, without taking needed resources away from other critical clinical and public health needs; designing recruitment strategies likely to generate sufficient enrollment from groups that have been disproportionately burdened by the virus, such as African Americans; supporting studies designed to improve outcomes in high-risk environments, such as nursing homes and group homes for the developmentally disabled; and ensuring that the medical products resulting from research are made available throughout the world at an affordable price. If clinical trials are not designed with equity considerations consciously in mind, the response to the pandemic may further exacerbate disparities in health status between population groups.

Title: Beyond Deaths per Capita: Three CoViD-19 Mortality Indicators for Temporal and International Comparisons Content: CoViD-19 deaths to population size ratios fail to account for well-documented age and sex differences in CoViD-19 mortality. To assess trends across populations for which CoViD-19 deaths might not be available by age and sex, an indirect age-and-sex adjustment can still be performed. The corresponding Comparative CoViD-19 Mortality Ratio (CCMR) only requires population age and sex compositions. To compare CoViD-19 and overall mortality levels, the Crude Death Rate (CDR) and life expectancy at birth for recent calendar years are the most widely available overall mortality indicators. Readily comparable to an annual CDR, a Crude CoViD-19 Death Rate (CCDR) can be calculated for periods of any duration. CoViD-19-induced declines in projected life expectancy at birth for 2020 can also be calculated from existing life tables. We calculate the CCMR and CCDR for the period from their first CoViD-19 death to the present using US age and sex data and current estimates of CoViD-19 deaths in 166 Countries whose population composition is available from the UN, 28 Provinces in China, the 50 United States and DC. Across these 245 populations, 14 States and 11 Countries have CCMR values above 1—the US value by construction. Most affected to date, the period CCDR in New York exceeds its CDR for the most recent year available (7.83 per thousand in 2017). We also calculate CCMR and CCDR values corresponding to projections for the 50 States and DC, and for 49 countries, for which we can additionally calculate reductions in 2020 life expectancy at birth using UN life tables. This suggests life-expectancy reductions between .5 and 1 year for 7 European Countries, 3 South-American Countries and the US. The .55 reduction in the U.S. amounts to nearly twice the largest single-year decline induced by HIV/AIDS (−.3 between 1992 and 1993) or the total decline induced by opioid overdoses (also −.3 between 2014 and 2017), and would bring US life expectancy at birth down to its lowest level since 2008. As current CoViD-19 death counts likely underestimate the total increase in deaths and current projections do not account for possible new infection waves later this year, the impact on 2020 life expectancies at birth should be expected to exceed these figures.

Title: APA urges HHS to push for partnership to address pandemic Content: Citing the need to provide urgent information on the impact of COVID‐19 on key populations and produce data to target behavioral health interventions to vulnerable populations, the American Psychological Association (APA) is urging the U.S. Department of Health and Human Services (HHS) to establish within the Centers for Disease Control and Prevention a public‐private partnership to address the pandemic.

Title: Analysis of hospitalized COVID-19 patients in the Mount Sinai Health System using electronic medical records (EMR) reveals important prognostic factors for improved clinical outcomes Content: COVID-19 is a novel threat to human health worldwide. There is an urgent need to understand patient characteristics of having COVID-19 disease and evaluate markers of critical illness and mortality. Objective: To assess association of clinical features on patient outcomes. Design, Setting, and Participants: In this observational case series, patient-level data were extracted from electronic medical records for 28,336 patients tested for SARS-CoV-2 at the Mount Sinai Health System from 2/24/ to 4/15/2020, including 6,158 laboratory-confirmed cases. Exposures: Confirmed COVID-19 diagnosis by RT-PCR assay from nasal swabs. Main Outcomes and Measures: Effects of race on positive test rates and mortality were assessed. Among positive cases admitted to the hospital (N = 3,273), effects of patient demographics, hospital site and unit, social behavior, vital signs, lab results, and disease comorbidities on discharge and death were estimated. Results: Hispanics (29%) and African Americans (25%) had disproportionately high positive case rates relative to population base rates (p<2e-16); however, no differences in mortality rates were observed in the hospital. Outcome differed significantly between hospitals (Gray's T=248.9; p<2e-16), reflecting differences in average baseline age and underlying comorbidities. Significant risk factors for mortality included age (HR=1.05 [95% CI, 1.04-1.06]; p=1.15e-32), oxygen saturation (HR=0.985 [95% CI, 0.982-0.988]; p=1.57e-17), care in ICU areas (HR=1.58 [95% CI, 1.29-1.92]; p=7.81e-6), and elevated creatinine (HR=1.75 [95% CI, 1.47-2.10]; p=7.48e-10), alanine aminotransferase (ALT) (HR=1.002, [95% CI 1.001-1.003]; p=8.86e-5) and body-mass index (BMI) (HR=1.02, [95% CI 1.00-1.03]; p=1.09e-2). Asthma (HR=0.78 [95% CI, 0.62-0.98]; p=0.031) was significantly associated with increased length of hospital stay, but not mortality. Deceased patients were more likely to have elevated markers of inflammation. Baseline age, BMI, oxygen saturation, respiratory rate, white blood cell (WBC) count, creatinine, and ALT were significant prognostic indicators of mortality. Conclusions and Relevance: While race was associated with higher risk of infection, we did not find a racial disparity in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. We identified clinical features associated with reduced mortality and discharge. These findings could help to identify which COVID-19 patients are at greatest risk and evaluate the impact on survival.

Title: Functional prediction and comparative population analysis of variants in genes for proteases and innate immunity related to SARS-CoV-2 infection Content: New coronavirus SARS-CoV-2 is capable to infect humans and cause a novel disease COVID-19. Aiming to understand a host genetic component of COVID-19, we focused on variants in genes encoding proteases and genes involved in innate immunity that could be important for susceptibility and resistance to SARS-CoV-2 infection. Analysis of sequence data of coding regions of FURIN, PLG, PRSS1, TMPRSS11a, MBL2 and OAS1 genes in 143 unrelated individuals from Serbian population identified 22 variants with potential functional effect. In silico analyses (PolyPhen-2, SIFT, MutPred2 and Swiss-Pdb Viewer) predicted that 10 variants could impact the structure and/or function of proteins. These protein-altering variants (p.Gly146Ser in FURIN; p.Arg261His and p.Ala494Val in PLG; p.Asn54Lys in PRSS1; p.Arg52Cys, p.Gly54Asp and p.Gly57Glu in MBL2; p.Arg47Gln, p.Ile99Val and p.Arg130His in OAS1) may have predictive value for inter-individual differences in the response to the SARS-CoV-2 infection. Next, we performed comparative population analysis for the same variants using extracted data from the 1000 genomes project. Population genetic variability was assessed using delta MAF and Fst statistics. Our study pointed to 7 variants in PLG, TMPRSS11a, MBL2 and OAS1 genes with noticeable divergence in allelic frequencies between populations worldwide. Three of them, all in MBL2 gene, were predicted to be damaging, making them the most promising population-specific markers related to SARS-CoV-2 infection. Comparing allelic frequencies between Serbian and other populations, we found that the highest level of genetic divergence related to selected loci was observed with African, followed by East Asian, Central and South American and South Asian populations. When compared with European populations, the highest divergence was observed with Italian population. In conclusion, we identified 4 variants in genes encoding proteases (FURIN, PLG and PRSS1) and 6 in genes involved in the innate immunity (MBL2 and OAS1) that might be relevant for the host response to SARS-CoV-2 infection.

Title: Infoveillance based on Social Sensors to Analyze the impact of Covid19 in South American Population Content: Infoveillance is an application from Infodemiology field with the aim to monitor public health and create public policies. Social sensor is the people providing thought, ideas through electronic communication channels(i.e. Internet). The actual scenario is related to tackle the covid19 impact over the world, many countries have the infrastructure, scientists to help the growth and countries took actions to decrease the impact. South American countries have a different context about Economy, Health and Research, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical. The motivation of this work is analyze the capital of Spanish Speakers Countries in South America using a Text Mining Approach with Twitter as data source. The preliminary results helps to understand what happens two weeks ago and opens the analysis from different perspectives i.e. Economics, Social.

Title: Genetic variants that influence SARS-CoV-2 receptor TMPRSS2 expression among population cohorts from multiple continents Content: The World Health Organization recently announced that pandemic status has been achieved for coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Exponential increases in patient numbers have been reported around the world, along with proportional increases in the number of COVID-19-related deaths. The SARS-CoV-2 infection rate in a population is expected to be influenced by social practices, availability of vaccines or prophylactics, and the prevalence of susceptibility genes in the population. Previous work revealed that cellular uptake of SARS-CoV-2 requires Angiotensin Converting Enzyme 2 (ACE-2) and a cellular protease. The spike (S) protein on SARS-CoV-2 binds ACE-2, which functions as an entry receptor. Following receptor binding, transmembrane protease serine 2 (encoded by TMPRSS2) primes the S protein to allow cellular uptake. Therefore, individual expression of TMPRSS2 may be a crucial determinant of SARS-CoV-2 infection susceptibility. Here, we utilized multiple large genome databases, including the GTEx portal, SNP nexus, and Ensembl genome project, to identify gene expression profiles for TMPRSS2 and its important expression quantitative trait loci. Our results show that four variants (rs464397, rs469390, rs2070788 and rs383510) affect expression of TMPRSS2 in lung tissue. The allele frequency of each variant was then assessed in regional populations, including African, American, European, and three Asian cohorts (China, Japan and Taiwan). Interestingly, our data shows that TMPRSS2-upregulating variants are at higher frequencies in European and American populations than in the Asian populations, which implies that these populations might be relatively susceptible to SARS-CoV-2 infection.

Title: Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world Content: The COVID-19 has been successfully contained in China but is spreading all over the world. We calibrate the logistic growth model, the generalized logistic growth model, the generalized Richards model and the generalized growth model to the reported number of infected cases from for the whole of China, 29 provinces in China, and 19 countries and regions that are undergoing major outbreaks. We dissect the development of the epidemics in China and the impact of the drastic control measures both at the aggregate level and within each province. We quantitatively document four phases of the outbreak in China with a detailed analysis on the heterogeneous situations across provinces. The extreme containment measures implemented by China were very effective with some instructive variations across provinces. Borrowing from the experience of China, we made scenario projections on the development of the outbreak in other countries. We identified that Europe and US have passed the inflection point and entered into an after-peak trajectory, which is estimated longer than what a classical Logistic model predicts, in contrast to most provinces in China where the after-peak trajectory is much faster. We expect Europe to have 1.83 million final total confirmed cases (2452 per million population) and US to have 1.26 million final total confirmed cases (3851 per million population). We identified three groups of countries in different level of outbreak progress, and provide informative implications for the current global pandemic.

Title: Impact of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the US: A Simulation Modeling Approach Content: BACKGROUND: Across the U.S., various social distancing measures were implemented to control COVID-19 pandemic. However, there is uncertainty in the effectiveness of such measures for specific regions with varying population demographics and different levels of adherence to social distancing. The objective of this paper is to determine the impact of social distancing measures in unique regions. METHODS: We developed COVid-19 Agent-based simulation Model (COVAM), an agent-based simulation model (ABM) that represents the social network and interactions among the people in a region considering population demographics, limited testing availability, imported infections from outside of the region, asymptomatic disease transmission, and adherence to social distancing measures. We adopted COVAM to represent COVID-19-associated events in Dane County, Wisconsin, Milwaukee metropolitan area, and New York City (NYC). We used COVAM to evaluate the impact of three different aspects of social distancing: 1) Adherence to social distancing measures; 2) timing of implementing social distancing; and 3) timing of easing social distancing. RESULTS: We found that the timing of social distancing and adherence level had a major effect on COVID-19 occurrence. For example, in NYC, implementing social distancing measures on March 5, 2020 instead of March 12, 2020 would have reduced the total number of confirmed cases from 191,984 to 43,968 as of May 30, whereas a 1-week delay in implementing such measures could have increased the number of confirmed cases to 1,299,420. Easing social distancing measures on June 1, 2020 instead of June 15, 2020 in NYC would increase the total number of confirmed cases from 275,587 to 379,858 as of July 31. CONCLUSION: The timing of implementing social distancing measures, adherence to the measures, and timing of their easing have major effects on the number of COVID-19 cases. PRIMARY FUNDING SOURCE: National Institute of Allergy and Infectious Diseases Institute

Title: New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis Content: BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has now been confirmed worldwide. Yet, COVID-19 is strangely and tragically selective. Morbidity and mortality due to COVID19 rise dramatically with age and co-existing health conditions, including cancer and cardiovascular diseases. Human genetic factors may contribute to the extremely high transmissibility of SARS-CoV-2 and to the relentlessly progressive disease observed in a small but significant proportion of infected individuals, but these factors are largely unknown. MAIN BODY: In this study, we investigated genetic susceptibility to COVID-19 by examining DNA polymorphisms in ACE2 and TMPRSS2 (two key host factors of SARS-CoV-2) from ~ 81,000 human genomes. We found unique genetic susceptibility across different populations in ACE2 and TMPRSS2. Specifically, ACE2 polymorphisms were found to be associated with cardiovascular and pulmonary conditions by altering the angiotensinogen-ACE2 interactions, such as p.Arg514Gly in the African/African-American population. Unique but prevalent polymorphisms (including p.Val160Met (rs12329760), an expression quantitative trait locus (eQTL)) in TMPRSS2, offer potential explanations for differential genetic susceptibility to COVID-19 as well as for risk factors, including those with cancer and the high-risk group of male patients. We further discussed that polymorphisms in ACE2 or TMPRSS2 could guide effective treatments (i.e., hydroxychloroquine and camostat) for COVID-19. CONCLUSION: This study suggested that ACE2 or TMPRSS2 DNA polymorphisms were likely associated with genetic susceptibility of COVID-19, which calls for a human genetics initiative for fighting the COVID-19 pandemic.

Title: Trends in childhood cancer mortality--United States, 1990-2004. Content: Cancer is the fourth most common cause of death (after unintentional injury, homicide, and suicide) among persons aged 1-19 years in the United States. Because recent childhood cancer mortality has not been well characterized in terms of temporal, demographic, and geographic trends, CDC analyzed cancer death rates among children (defined as aged 0-14 years) and adolescents (defined as aged 15-19 years) for the period 1990-2004 by sex, age group, race, ethnicity, U.S. Census region, and primary cancer site/leading diagnosis, using the most recent data available from the National Vital Statistics System (NVSS). This report describes the results of that analysis, which indicated that, overall, age-adjusted childhood cancer death rates decreased significantly during 1990-2004 among both sexes, both age groups, all races (except American Indians/Alaska Natives [AI/ANs]), Hispanics, non-Hispanics, and all U.S. Census regions. However, decreases in death rates varied among U.S. Census regions and between Hispanics and non-Hispanics. Eliminating racial/ethnic health disparities is one of the overarching goals of Healthy People 2010. Further research is needed to understand geographic and ethnic disparities in childhood cancer death rates. Moreover, cancer prevention and intervention measures should be designed to reach populations that are underserved and at high risk.

Title: How COVID-19’s Disruption of the U.S. Correctional System Provides an Opportunity for Decarceration Content: The COVID-19 pandemic has amplified decades of vulnerabilities, disparities, and injustices within the U.S. correctional system. The spread of the coronavirus poses a particularly serious threat to those that comprise the system, including personnel, attorneys, prisoners, their families and extends into the communities in which facilities are located. These correctional facilities and communities were especially underprepared for the sudden onset of a highly contagious virus, which has resulted in an exceedingly high number of infections among those who work and are held in the facilities. Rampant overcrowding in the U.S. correctional system, an aging population, and a population exhibiting high rates of underlying health conditions are highly likely to exacerbate the spread of this highly contagious virus. This potentially dire set of interrelated circumstances necessitates rapid decarceration measures that effectively balance public safety and public health. Unfortunately, there has been unclear guidance as well as changing and even contradictory information coming from the federal government concerning rapid measures to mitigate the spread of infection to justice system personnel and federal prisoners. In this paper we summarize the federal response and how it has impacted those responsible for implementation. Furthermore, we discuss how systemic deleterious conditions of the U.S. correctional system serve as both accelerants to as well as effects of the pandemic. We end highlighting critical issues relating to early release due to COVID-19 that will necessitate future research.

Title: Systematic Review of Interventions to Increase Stool Blood Colorectal Cancer Screening in African Americans Content: African Americans experience colorectal cancer (CRC) related disparities compared to other racial groups in the United States. African Americans are frequently diagnosed with CRC at a later stage, screening is underutilized, and mortality rates are highest in this group. This systematic review focused on intervention studies using stool blood CRC screening among African Americans in primary care and community settings. Given wide accessibility, low cost, and ease of dissemination of stool-based CRC screening tests, this review aims to determine effective interventions to improve participation rates. This systematic review included intervention studies published between January 1, 2000 and March 16, 2019. After reviewing an initial search of 650 studies, 11 studies were eventually included in this review. The included studies were studies conducted in community and clinical settings, using both inreach and outreach strategies to increase CRC screening. For each study, an unadjusted odds ratio (OR) for the CRC screening intervention compared to the control arm was calculated based on the data in each study to report effectiveness. The eleven studies together recruited a total of 3334 participants. The five studies using two-arm experimental designs ranged in effectiveness with ORs ranging from 1.1 to 13.0 using interventions such as mailed reminders, patient navigation, and tailored educational materials. Effective strategies to increase stool blood testing included mailed stool blood tests augmented by patient navigation, tailored educational materials, and follow-up calls or mailings to increase trust in the patient-provider relationship. More studies are needed on stool blood testing interventions to determine effectiveness in this population.

Title: The Expression and Polymorphism of Entry Machinery for COVID-19 in Human: Juxtaposing Population Groups, Gender, and Different Tissues Content: (1) Background: Combating viral disease outbreaks has doubtlessly been one of the major public health challenges for the 21st century. (2) Methods: The host entry machinery required for COVID-19 (SARS-CoV-2) infection was examined for the gene expression profiles and polymorphism. (3) Results: Lung, kidney, small intestine, and salivary glands were among the tissues which expressed the entry machinery coding genes Ace2, Tmprss2, CtsB, and CtsL. The genes had no significant expression changes between males and females. The four human population groups of Europeans, Africans, Asians, and Americans had specific and also a common pool of rare variants for the X-linked locus of ACE2 receptor. Several specific and common ACE2 variants including S19P, I21T/V, E23K, A25T, K26R, T27A, E35D/K, E37K, Y50F, N51D/S, M62V, N64K, K68E, F72V, E75G, M82I, T92I, Q102P, G220S, H239Q, G326E, E329G, G352V, D355N, H378R, Q388L, P389H, E467K, H505R, R514G/*, and Y515C were of the utmost importance to the viral entry and infection. The variants of S19P, I21T, K26R, T27A, E37K, N51D, N64K, K68E, F72V, M82I, G326E, H378R, Q388L, and P389H also had significant differences in frequencies among the population groups. Most interestingly, the analyses revealed that more than half of the variants can exist in males, i.e., as hemizygous. (4) Conclusions: The rare variants of human ACE2 seem to be one of the determinant factors associated with fitness in the battle against SARS viruses. The hemizygous viral-entry booster variants of ACE2 describe the higher SARS-CoV-2 mortality rate in males. This is also supported by the lack of gender bias for the gene expression profiles of entry machinery. A personalized medicine strategy is conceived for isolating high-risk individuals in epidemic circumstances.

Title: The Disproportionate Impact of COVID-19 on Racial and Ethnic Minorities in the United States Content: The COVID-19 pandemic has disproportionately affected racial and ethnic minority groups, with high rates of death in African American, Native American, and LatinX communities. While the mechanisms of these disparities are being investigated, they can be conceived as arising from biomedical factors as well as social determinants of health. Minority groups are disproportionately affected by chronic medical conditions and lower access to healthcare that may portend worse COVID-19 outcomes. Furthermore, minority communities are more likely to experience living and working conditions that predispose them to worse outcomes. Underpinning these disparities are long-standing structural and societal factors that the COVID-19 pandemic has exposed. Clinicians can partner with patients and communities to reduce the short-term impact of COVID-19 disparities while advocating for structural change.

Title: COVID-19 and the US response: accelerating health inequities Content: Health inequities have long defined health and the healthcare system in the USA. The clinical and research capacity across the USA is unparalleled, yet compared to other high and even some middle-income countries, the average health indicators of the population remain suboptimal in 2020, a finding at least in part explained by inequity in healthcare access. In this context, COVID-19 has rapidly emerged as a major threat to the public’s health. While it was initially thought that severe acute respiratory syndrome coronavirus 2 would be the great equaliser as it would not discriminate, it is clear that COVID-19 incidence and mortality have rapidly reinforced health disparities drawn by historical and contemporary inequities. Here, we synthesise the data highlighting specific risks among particular marginalised and under-resourced communities including those in jails, prisons and detention centers, immigrants and the undocumented, people with disabilities and people experiencing homelessness across the USA. The drivers of these disparities are pervasive structural risks including limited access to preventive services, inability to comply with physical distancing recommendations, underlying health disparities and intersecting stigmas particularly affecting racial and ethnic minorities across the country, including African Americans, Latinx Americans and Native Americans. Advancing the COVID-19 response, saving lives and restarting the economy necessitate rapidly addressing these inequities rather than ignoring and even reinforcing them.

Title: COVID-19 and the US response: accelerating health inequities Content: Health inequities have long defined health and the healthcare system in the USA. The clinical and research capacity across the USA is unparalleled, yet compared to other high and even some middle-income countries, the average health indicators of the population remain suboptimal in 2020, a finding at least in part explained by inequity in healthcare access. In this context, COVID-19 has rapidly emerged as a major threat to the public's health. While it was initially thought that severe acute respiratory syndrome coronavirus 2 would be the great equaliser as it would not discriminate, it is clear that COVID-19 incidence and mortality have rapidly reinforced health disparities drawn by historical and contemporary inequities. Here, we synthesise the data highlighting specific risks among particular marginalised and under-resourced communities including those in jails, prisons and detention centers, immigrants and the undocumented, people with disabilities and people experiencing homelessness across the USA. The drivers of these disparities are pervasive structural risks including limited access to preventive services, inability to comply with physical distancing recommendations, underlying health disparities and intersecting stigmas particularly affecting racial and ethnic minorities across the country, including African Americans, Latinx Americans and Native Americans. Advancing the COVID-19 response, saving lives and restarting the economy necessitate rapidly addressing these inequities rather than ignoring and even reinforcing them.

Title: Implications of the COVID-19 San Francisco Bay Area Shelter-in-Place Announcement: A Cross-Sectional Social Media Survey Content: BACKGROUND: The U.S. has experienced an unprecedented number of shelter-in-place orders throughout the COVID-19 pandemic. There is limited empirical research that examines the impact of these orders. We aimed to rapidly ascertain whether social distancing; difficulty with daily activities (obtaining food, essential medications and childcare); and levels of concern regarding COVID-19 changed after the March 16, 2020 announcement of shelter-in-place orders for seven counties in the San Francisco Bay Area. METHODS: We conducted an online, cross-sectional social media survey from March 14 – April 1, 2020. We measured changes in social distancing behavior; experienced difficulties with daily activities (i.e., access to healthcare, childcare, obtaining essential food and medications); and level of concern regarding COVID-19 after the March 16 shelter-in-place announcement in the San Francisco Bay Area and elsewhere in the U.S. RESULTS: The percentage of respondents social distancing all of the time increased following the shelter-in-place announcement in the Bay Area (9.2%, 95% CI: 6.6, 11.9) and elsewhere in the U.S. (3.4%, 95% CI: 2.0, 5.0). Respondents also reported increased difficulty with obtaining food, hand sanitizer, and medications, particularly with obtaining food for both respondents from the Bay Area (13.3%, 95% CI: 10.4, 16.3) and elsewhere (8.2%, 95% CI: 6.6, 9.7). We found limited evidence that level of concern regarding the COVID-19 crisis changed following the shelter-in-place announcement. CONCLUSION: These results capture early changes in attitudes, behaviors, and difficulties. Further research that specifically examines social, economic, and health impacts of COVID-19, especially among vulnerable populations, is urgently needed.

Title: Motor vehicle-related death rates--United States, 1999-2005. Content: In 2005, the most recent year for which data are available, 45,520 deaths in the United States were related to motor vehicles. A Healthy People 2010 objective calls for reducing the rate of deaths related to motor vehicles to 9.2 per 100,000 population from a baseline of 15.6 in 1998. To assess progress toward the Healthy People objective and to examine characteristics of motor vehicle--related death rates, CDC analyzed data from the National Vital Statistics System (NVSS) for the period 1999--2005. This report summarizes the results of that analysis, which determined that, during 1999--2005, although annual age-adjusted motor vehicle--related death rates overall were nearly unchanged (range: 15.2--15.7 per 100,000 population), substantial differences were observed by state, U.S. Census region, sex, race, and age group. Among states, the average annual death rate ranged from 7.9 per 100,000 population in Massachusetts to 31.9 in Mississippi. Among regions, the rate ranged from 9.8 per 100,000 population in the Northeast to 19.5 in the South. The rate for men (21.7 per 100,000 population) was more than double the rate for women (9.4); the rate for American Indians/Alaska Natives (27.2) was nearly twice the rate for whites (15.7) and blacks (15.2), and the rate for persons aged 15--24 years (26.8) was 74% higher than the average annual rate overall (15.4). Additional analysis and research to determine the causes of geographic and demographic variations in motor vehicle--related deaths might result in more effective targeted interventions among the states, regions, and populations at greatest risk.

Title: COVID-19 Deaths: Which Explanatory Variables Matter the Most? Content: As Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spreads around the World, many questions about the disease are being answered; however, many more remain poorly understood. Although the situation is rapidly evolving, with datasets being continually corrected or updated, it is crucial to understand what factors may be driving transmission through different populations. While studies are beginning to highlight specific parameters that may be playing a role, few have attempted to thoroughly estimate the relative importance of these disparate variables that likely include: climate, population demographics, and imposed state interventions. In this report, we compiled a database of more than 28 potentially explanatory variables for each of the 50 U.S. states through early May 2020. Using a combination of traditional statistical and modern machine learning approaches, we identified those variables that were the most statistically significant, and, those that were the most important. These variables were chosen to be fiduciaries of a range of possible drivers for COVID-19 deaths in the USA. We found that population-weighted density (PWD), some "stay at home" metrics, monthly temperature and precipitation, race/ethnicity, and chronic low respiratory death rate, were all statistically significant. Of these, PWD and mobility metrics dominated. This suggests that the biggest impact on COVID-19 deaths was, at least initially, a function of where you lived, and not what you did. However, clearly, increasing social distancing has the net effect of (at least temporarily) reducing the effective PWD. Our results strongly support the idea that the loosening of "lock-down" orders should be tailored to the local PWD. In contrast to these variables, while still statistically significant, race/ethnicity, health, and climate effects could only account for a few percent of the variability in deaths. Where associations were anticipated but were not found, we discuss how limitations in the parameters chosen may mask a contribution that might otherwise be present.

Title: COVID-19 pandemic in the African continent: forecasts of cumulative cases, new infections, and mortality Content: Background: Africa is the last major region to capitulate to the SARS-CoV-2 (COVID-19) pandemic. The first confirmed COVID-19 case in the region was reported on February 14, but what lies ahead in terms of the course and magnitude of infection remains speculative. To the best of our knowledge, no study, using a robust methodology, provides the immediate and long-term trajectory of COVID-19 for the entire region or accounts for its local context. This paper is the first systematic attempt to provide estimates on how many people would contract the virus and how many would die in the coming few months across Africa. Methods: The forecasts on caseloads and incidences are from a co-variate-based instrumental variable regression model. Fatality rates from Italy and China were further applied to generate mortality estimates after adjustments were made for differences in age-structure, health service quality, and living standards between each of the African countries and those of the reference population. We cover all countries that reported a confirmed case as of March 31, 2020. Results: By the end of June, 16,283,085 people will contract COVID-19 (95% CI 718,403 to 98, 358, 799). With a cumulative caseload of 5,413,4517 (95% CI 1,332,953 to 8,489,940) and 906,625 (95% CI 173, 821 to 4,742,917) Northern and Eastern Africa will respectively be the most and least affected sub-regions in the continent. Cumulative COVID-19 cases on June 30, 2020 are expected to reach 2,912, 864 (95% CI 465,028 to 18,286,358) in Southern Africa, 2,787, 913 (95% CI 517, 489 to 15,056,314) in Western Africa, and 1,185,742 (95% CI 229, 111 to 6,138,692) in Central Africa. New infections (incidence) for the month of April are expected to be the highest in Djibouti, 32.8 per 1000 (95% CI 6.25 to 171.77), while Morocco 1045 (95% CI 167 to 6,547) will register the highest number of deaths. Conclusion: Our study shows that countries that are least urbanized and have a low level of socio-economic development, hence least connected to the outside world, are likely to register lower and slower transmissions, at least at the early stage of the epidemic. However, the same set of enabling factors that worked for their benefit are likely to go against them in implementing interventions that have lessened the impact of the disease elsewhere.

Title: Outcomes and Cardiovascular Comorbidities in a Predominantly African-American Population with COVID-19 Content: Importance: Racial disparities in COVID-19 outcomes have been amplified during this pandemic and reports on outcomes in African-American (AA) populations, known to have higher rates of cardiovascular (CV) comorbidities, remain limited. Objective: To examine prevalence of comorbidities, rates of hospitalization and survival, and incidence of CV manifestations of COVID-19 in a predominantly AA population in south metropolitan Chicago. Design, Setting, Participants: This was an observational cohort study of COVID-19 patients encountered from March 16 to April 16, 2020 at the University of Chicago. Deidentified data were obtained from an institutional data warehouse. Group comparisons and logistic regression modeling based on baseline demographics, clinical characteristics, laboratory and diagnostic testing was performed. Exposures: COVID-19 was diagnosed by nasopharyngeal swab testing and clinical management was at the discretion of treating physicians. Main Outcomes and Measures: Primary outcomes were hospitalization and in-hospital mortality, and secondary outcomes included incident CV manifestations of COVID-19 in the context of overall cardiology service utilization. Results: During the 30 day study period, 1008 patients tested positive for COVID-19 and 689 had available encounter data. Of these, 596 (87%) were AA and 356 (52%) were hospitalized, of which 319 (90%) were AA. Age > 60 years, tobacco use, BMI >40 kg/m2, diabetes mellitus (DM), insulin use, hypertension, chronic kidney disease, coronary artery disease (CAD), and atrial fibrillation (AF) were more common in hospitalized patients. Age > 60 years, tobacco use, CAD, and AF were associated with greater risk of in-hospital mortality along with several elevated initial laboratory markers including troponin, NT-proBNP, blood urea nitrogen, and ferritin. Despite this, cardiac manifestations of COVID-19 were uncommon, coincident with a 69% decrease in cardiology service utilization. For hospitalized patients, median length of stay was 6.2 days (3.4-11.9 days) and mortality was 13%. AA patients were more commonly hospitalized, but without increased mortality. Conclusions and Relevance: In this AA-predominant experience from south metropolitan Chicago, CV comorbidities and chronic diseases were highly prevalent and associated with increased hospitalization and mortality. Insulin-requiring DM and CKD emerged as novel predictors for hospitalization. Despite the highest rate of comorbidities reported to date, CV manifestations of COVID-19 and mortality were relatively low. The unexpectedly low rate of mortality merits further study.

Title: Advanced Chronic Venous Insufficiency. Content: INTRODUCTION Intervention for advanced chronic venous insufficiency is considered an appropriate standard of care. However, outcomes vary among patients who present in advanced clinical stages of disease. The main objectives of this study were to determine whether racial disparity exists at initial presentation and response to intervention. METHODS A retrospective database was created to include all radiofrequency ablation procedures performed by a single surgeon from January 14, 2009, through May 25, 2011. Demographics, clinical traits, race, procedure, and outcomes were analyzed. Stepwise model selection reduced candidate baseline factors to a final parsimonious model, which was analyzed using analysis of variance. RESULTS The database consisted of 300 patients with a predominant female (n = 215, 85%) base and 85 (15%) males, with a mean age distribution of 53 years. The mean body mass index was 30.2. Racial distribution revealed Asian (n = 9, 3.3%), Pacific Islander (n = 1, 0.4%), African American (n = 37, 13.6%), and Caucasian (CAU, n = 225, 82.7%). African Americans presented with more advanced clinical stages than the CAU group-C2: African American 21.6%, CAU 36.7%; C4: African American 35%, CAU 24.3%; and C6: African American 35.1%, CAU 7.5%. African Americans demonstrated a higher preoperative venous clinical severity score (VCSS) than their CAU counterparts. Postprocedural decrease in VCSS score was lower in African Americans than their CAU counterparts. CONCLUSION African American patients present with more advanced venous insufficiency than CAUs. Postprocedural analysis reveals not only slower ulcer healing times but also higher ulcer recurrence rates.

Title: Imaging evaluation of COVID-19 in the emergency department Content: PURPOSE: The purpose of this study is to elucidate the chest imaging findings of suspected COVID-19 patients presenting to the emergency department and the relationship with their demographics and RT-PCR testing results. METHODS: Patients presenting to the ED between March 12 and March 28, 2020, with symptoms suspicious for COVID-19 and subsequent CXR and/or CT exam were selected. Patients imaged for other reasons with findings suspicious for COVID-19 were also included. Demographics, laboratory test results, and history were extracted from the medical record. Descriptive statistics were used to explore the relationship between imaging and these factors. RESULTS: A total of 227 patients from the emergency department were analyzed (224 CXRs and 25 CTs). Of the 192 patients with COVID-19 results, 173 (90.1%) had COVID-19 RT-PCR (+). Abnormal imaging (CXR, 85.7% and/or CT, 100%) was noted in 155 (89.6%) of COVID-19 RT-PCR (+) cases. The most common imaging findings were mixed airspace/interstitial opacities (39.8%) on CXR and peripheral GGOs on CT (92%). The most common demographic were African Americans (76.8%). Furthermore, 97.1% of African Americans were RT-PCR (+) compared to 65.8% of Caucasians. CONCLUSION: We found a similar spectrum of thoracic imaging findings in COVID-19 patients as previous studies. The most common demographic were African Americans (76.8%). Furthermore, 97.1% of African Americans were RT-PCR (+) compared to 65.8% of Caucasians. Both CT and CXR can accurately identify COVID-19 pneumonitis in 89.6% of RT-PCR (+) cases, 89.5% of false negatives, and 72.7% of cases with no RT-PCR result. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10140-020-01787-0) contains supplementary material, which is available to authorized users.

Title: Black Lives in a Pandemic: Implications of Systemic Injustice for End-of-Life Care Content: In recent months, Covid-19 has devastated African American communities across the nation, and a Minneapolis police officer murdered George Floyd. The agents of death may be novel, but the phenomena of long-standing epidemics of premature black death and of police violence are not. This essay argues that racial health and health care disparities, rooted as they are in systemic injustice, ought to carry far more weight in clinical ethics than they generally do. In particular, this essay examines palliative and end-of-life care for African Americans, highlighting the ways in which American medicine, like American society, has breached trust. In the experience of many African American patients struggling against terminal illness, health care providers have denied them a say in their own medical decision-making. In the midst of the Covid-19 pandemic, African Americans have once again been denied a say with regard to the rationing of scarce medical resources such as ventilators, in that dominant and ostensibly race-neutral algorithms sacrifice black lives. Is there such thing as a "good" or "dignified" death when African Americans are dying not merely of Covid-19 but of structural racism?

Title: Black Lives in a Pandemic: Implications of Systemic Injustice for End‐of‐Life Care Content: In recent months, Covid‐19 has devastated African American communities across the nation, and a Minneapolis police officer murdered George Floyd. The agents of death may be novel, but the phenomena of long‐standing epidemics of premature black death and of police violence are not. This essay argues that racial health and health care disparities, rooted as they are in systemic injustice, ought to carry far more weight in clinical ethics than they generally do. In particular, this essay examines palliative and end‐of‐life care for African Americans, highlighting the ways in which American medicine, like American society, has breached trust. In the experience of many African American patients struggling against terminal illness, health care providers have denied them a say in their own medical decision‐making. In the midst of the Covid‐19 pandemic, African Americans have once again been denied a say with regard to the rationing of scarce medical resources such as ventilators, in that dominant and ostensibly race‐neutral algorithms sacrifice black lives. Is there such thing as a “good” or “dignified” death when African Americans are dying not merely of Covid‐19 but of structural racism?