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

Title: Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago Content: Although the current COVID-19 crisis is felt globally, at the local level, COVID-19 has disproportionately affected poor, highly segregated African American communities in Chicago. To understand the emerging pattern of racial inequality in the effects of COVID-19, we examined the relative burden of social vulnerability and health risk factors. We found significant spatial clusters of social vulnerability and risk factors, both of which are significantly associated with the increased COVID-19-related death rate. We also found that a higher percentage of African Americans was associated with increased levels of social vulnerability and risk factors. In addition, the proportion of African American residents has an independent effect on the COVID-19 death rate. We argue that existing inequity is often highlighted in emergency conditions. The disproportionate effects of COVID-19 in African American communities are a reflection of racial inequality and social exclusion that existed before the COVID-19 crisis.

Title: Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago. Content: Although the current COVID-19 crisis is felt globally, at the local level, COVID-19 has disproportionately affected poor, highly segregated African American communities in Chicago. To understand the emerging pattern of racial inequality in the effects of COVID-19, we examined the relative burden of social vulnerability and health risk factors. We found significant spatial clusters of social vulnerability and risk factors, both of which are significantly associated with the increased COVID-19-related death rate. We also found that a higher percentage of African Americans was associated with increased levels of social vulnerability and risk factors. In addition, the proportion of African American residents has an independent effect on the COVID-19 death rate. We argue that existing inequity is often highlighted in emergency conditions. The disproportionate effects of COVID-19 in African American communities are a reflection of racial inequality and social exclusion that existed before the COVID-19 crisis.

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: 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 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: Similarities and differences in COVID-19 awareness, concern, and symptoms by race and ethnicity in the United States: A cross-sectional survey Content: BACKGROUND: Existing health disparities based on race and ethnicity in the United States are contributing to disparities in morbidity and mortality in the COVID-19 pandemic. We conducted an online survey of American adults to assess similarities and differences by race and ethnicity groups with respect to COVID-19 symptoms, estimates of the extent of the pandemic, knowledge of control measures, and stigma. OBJECTIVE: Describe similarities and differences in COVID-19 symptoms, knowledge, and beliefs by race and ethnicity among adults in the US. METHODS: We conducted a cross-sectional survey from March 27, 2020 through April 1, 2020. Participants were recruited on social media platforms and completed the survey on a secure, online survey platform. We used chi square tests to compare characteristics related to COVID-19 by race and ethnicity. Statistical tests were corrected using the Holm Bonferroni correction to account for multiple comparisons. RESULTS: A total of 1,435 (3.6% Asian, 11.0% non-Hispanic Black, 38.2% Hispanic, 40.9% non-Hispanic white, and 6.3% other or multiple races) participants completed the survey. Only one symptom (sore throat) was found to be different based on race and ethnicity (p = 0.003), which was less frequently reported by Asian (5.8%), non-Hispanic Black (5.7%), and other/multiple race (8.9%) participants compared to those who were Hispanic (18.1%) or non-Hispanic white (16.2%). Non-Hispanic white and Asian participants were more likely to estimate that the number of current cases was at least 100,000 (p = 0.004) and were more likely to answer all 14 COVID-19 knowledge scale questions correctly (Asian, 25.0%; non-Hispanic White, 30.7%) compared to Hispanic (19.7%) and non-Hispanic Black (15.8%) participants. CONCLUSIONS: We observed differences with respect to knowledge of appropriate methods to prevent infection by the novel coronavirus that causes COVID-19. Deficits in knowledge of proper control methods might further exacerbate existing race/ethnicity disparities. Additional research is needed to identify trusted sources of information in Hispanic and non-Hispanic Black communities and effective messaging to disseminate correct COVID-19 prevention and treatment information.

Title: Six feet apart or six feet under: The impact of COVID-19 on the Black community Content: To date, 110,000+ people in the United States have died from the COVID-19 pandemic. In this paper, the authors will discuss COVID-19 relative to Black people and their overrepresentation among those who are infected and died from the disease. Their dying, death, and grief experiences are explored through a cultural and spiritual lens. The physical distancing, social isolation, misinformation, and restrictive burials and cremations now elicited by this unprecedented pandemic have had diminished familial, cultural, emotional, and economic impacts on the Black community. Implications for public health and Black peoples' involvement in the political process are also addressed.

Title: Six feet apart or six feet under: The impact of COVID-19 on the Black community. Content: To date, 110,000+ people in the United States have died from the COVID-19 pandemic. In this paper, the authors will discuss COVID-19 relative to Black people and their overrepresentation among those who are infected and died from the disease. Their dying, death, and grief experiences are explored through a cultural and spiritual lens. The physical distancing, social isolation, misinformation, and restrictive burials and cremations now elicited by this unprecedented pandemic have had diminished familial, cultural, emotional, and economic impacts on the Black community. Implications for public health and Black peoples' involvement in the political process are also addressed.

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: COVID-19 and the Widening Gap in Health Inequity Content: The coronavirus disease 2019 (COVID-19) pandemic has brought to light significant health inequities that have existed in our society for decades. Blacks, Hispanics, Native Americans, and immigrants are the populations most likely to experience disparities related to burden of disease, health care, and health outcomes. Increasingly, national and state statistics on COVID-19 report disproportionately higher mortality rates in blacks. There has never been a more pressing time for us to enact progressive and far-reaching changes in social, economic, and political policies that will shape programs aimed at improving the health of all people living in the United States.

Title: COVID-19 and the Widening Gap in Health Inequity. Content: The coronavirus disease 2019 (COVID-19) pandemic has brought to light significant health inequities that have existed in our society for decades. Blacks, Hispanics, Native Americans, and immigrants are the populations most likely to experience disparities related to burden of disease, health care, and health outcomes. Increasingly, national and state statistics on COVID-19 report disproportionately higher mortality rates in blacks. There has never been a more pressing time for us to enact progressive and far-reaching changes in social, economic, and political policies that will shape programs aimed at improving the health of all people living in the United States.

Title: The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities Content: The Coronavirus disease 2019 (COVID-19) pandemic has significantly impacted and devastated the world. As the infection spreads, the projected mortality and economic devastation are unprecedented. In particular, racial and ethnic minorities may be at a particular disadvantage as many already assume the status of a marginalized group. Black Americans have a long-standing history of disadvantage and are in a vulnerable position to experience the impact of this crisis and the myth of Black immunity to COVID-19 is detrimental to promoting and maintaining preventative measures. We are the first to present the earliest available data in the peer-reviewed literature on the racial and ethnic distribution of COVID-19-confirmed cases and fatalities in the state of Connecticut. We also seek to explode the myth of Black immunity to the virus. Finally, we call for a National Commission on COVID-19 Racial and Ethnic Health Disparities to further explore and respond to the unique challenges that the crisis presents for Black and Brown communities.

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: Assessing racial and ethnic disparities using a COVID-19 outcomes continuum for New York State Content: PURPOSE: Heightened COVID-19 mortality among Black non-Hispanic and Hispanic communities (relative to white non-Hispanic) is well established. This study aims to estimate the relative contributions to fatality disparities in terms of differences in SARS-CoV-2 infections, diagnoses, and disease severity. METHODS: We constructed COVID-19 outcome continua (similar to the HIV care continuum) for white non-Hispanic, Black non-Hispanic, and Hispanic adults in New York State. For each stage in the COVID-19 outcome continua (population, infection experience, diagnosis, hospitalization, fatality), we synthesized the most recent publicly-available data. We described each continuum using overall percentages, fatality rates, and relative changes between stages, with comparisons between race and ethnicity using risk ratios. RESULTS: Estimated per-population COVID-19 fatality rates were 0.03%, 0.18%, and 0.12% for white non-Hispanic, Black non-Hispanic, and Hispanic adults. The 3.48-fold disparity for Hispanic, relative to white, communities was explained by differences in infection-experience, whereas the 5.38-fold disparity for non-Hispanic Black, relative to white, communities was primarily driven by differences in both infection-experience and in the need for hospitalization, given infection. CONCLUSIONS: These findings suggest the most impactful stages upon which to intervene with programs and policies to build COVID-19 health equity.

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: 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: 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: 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: 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: 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: Black-White Risk Differentials in COVID-19 (SARS-COV2) Transmission, Mortality and Case Fatality in the United States: Translational Epidemiologic Perspective and Challenges Content: BACKGROUND: Social and health inequities predispose vulnerable populations to adverse morbidity and mortality outcomes of epidemics and pandemics. While racial disparities in cumulative incidence (CmI) and mortality from the influenza pandemics of 1918 and 2009 implicated Blacks with survival disadvantage relative to Whites in the United States, COVID-19 currently indicates comparable disparities. We aimed to: (a) assess COVID-19 CmI by race, (b) determine the Black-White case fatality (CF) and risk differentials, and (c) apply explanatory model for mortality risk differentials. METHODS: COVID-19 data on confirmed cases and deaths by selective states health departments were assessed using a cross-sectional ecologic design. Chi-square was used for CF independence, while binomial regression model for the Black-White risk differentials. RESULTS: The COVID-19 mortality CmI indicated Blacks/AA with 34% of the total mortality in the United States, albeit their 13% population size. The COVID-19 CF was higher among Blacks/AA relative to Whites; Maryland, (2.7% vs. 2.5%), Wisconsin (7.4% vs. 4.8%), Illinois (4.8% vs. 4.2%), Chicago (5.9% vs. 3.2%), Detroit (Michigan), 7.2% and St. John the Baptist Parish (Louisiana), 7.9%. Blacks/AA compared to Whites in Michigan were 15% more likely to die, CmI risk ratio (CmIRR) = 1.15, 95% CI, 1.01-1.32. Blacks/AA relative to Whites in Illinois were 13% more likely to die, CmIRR = 1.13, 95% CI, 0.93-1.39, while Blacks/AA compared to Whites in Wisconsin were 51% more likely to die, CmIRR = 1.51, 95% CI, 1.10-2.10. In Chicago, Blacks/AA were more than twice as likely to die, CmIRR = 2.24, 95% CI, 1.36-3.88. CONCLUSION: Substantial racial/ethnic disparities are observed in COVID-19 CF and mortality with Blacks/AA disproportionately affected across the United States.

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: 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: Black–White Risk Differentials in COVID-19 (SARS-COV2) Transmission, Mortality and Case Fatality in the United States: Translational Epidemiologic Perspective and Challenges Content: Background: Social and health inequities predispose vulnerable populations to adverse morbidity and mortality outcomes of epidemics and pandemics. While racial disparities in cumulative incidence (CmI) and mortality from the influenza pandemics of 1918 and 2009 implicated Blacks with survival disadvantage relative to Whites in the United States, COVID-19 currently indicates comparable disparities. We aimed to: (a) assess COVID-19 CmI by race, (b) determine the Black–White case fatality (CF) and risk differentials, and (c) apply explanatory model for mortality risk differentials. Methods: COVID-19 data on confirmed cases and deaths by selective states health departments were assessed using a cross-sectional ecologic design. Chi-square was used for CF independence, while binomial regression model for the Black–White risk differentials. Results: The COVID-19 mortality CmI indicated Blacks/AA with 34% of the total mortality in the United States, albeit their 13% population size. The COVID-19 CF was higher among Blacks/AA relative to Whites; Maryland, (2.7% vs. 2.5%), Wisconsin (7.4% vs. 4.8%), Illinois (4.8% vs. 4.2%), Chicago (5.9% vs. 3.2%), Detroit (Michigan), 7.2% and St. John the Baptist Parish (Louisiana), 7.9%. Blacks/AA compared to Whites in Michigan were 15% more likely to die, CmI risk ratio (CmIRR) = 1.15, 95% CI, 1.01–1.32. Blacks/AA relative to Whites in Illinois were 13% more likely to die, CmIRR = 1.13, 95% CI, 0.93–1.39, while Blacks/AA compared to Whites in Wisconsin were 51% more likely to die, CmIRR = 1.51, 95% CI, 1.10–2.10. In Chicago, Blacks/AA were more than twice as likely to die, CmIRR = 2.24, 95% CI, 1.36–3.88. Conclusion: Substantial racial/ethnic disparities are observed in COVID-19 CF and mortality with Blacks/AA disproportionately affected across the United States.

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: 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: Assessing Differential Impacts of COVID-19 on Black Communities Content: PURPOSE: Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in US counties to describe racial disparities in COVID-19 disease and death and associated determinants. METHODS: Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (>13%) black and all other (<13% black) counties. Rate ratios were calculated and population attributable fractions (PAF) were estimated using COVID-19 cases and deaths via zero-inflated negative binomial regression model. National maps with county-level data and an interactive scatterplot of COVID-19 cases were generated. RESULTS: Nearly ninety-seven percent of disproportionately black counties (656/677) reported a case and 49% (330/677) reported a death versus 81% (1987/2,465) and 28% (684/ 2465), respectively, for all other counties. Counties with higher proportions of black people have higher prevalence of comorbidities and greater air pollution. Counties with higher proportions of black residents had more COVID-19 diagnoses (RR 1.24, 95% CI 1.17-1.33) and deaths (RR 1.18, 95% CI 1.00-1.40), after adjusting for county-level characteristics such as age, poverty, comorbidities, and epidemic duration. COVID-19 deaths were higher in disproportionally black rural and small metro counties. The PAF of COVID-19 diagnosis due to lack of health insurance was 3.3% for counties with <13% black residents and 4.2% for counties with >13% black residents. CONCLUSIONS: Nearly twenty-two percent of US counties are disproportionately black and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities.

Title: Assessing Differential Impacts of COVID-19 on Black Communities Content: Purpose: Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in US counties to describe racial disparities in COVID-19 disease and death and associated determinants. Methods: Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (>13%) black and all other (<13% black) counties. Rate ratios were calculated and population attributable fractions (PAF) were estimated using COVID-19 cases and deaths via zero-inflated negative binomial regression model. National maps with county-level data and an interactive scatterplot of COVID-19 cases were generated. Results: Nearly ninety-seven percent of disproportionately black counties (656/677) reported a case and 49% (330/677) reported a death versus 81% (1987/2,465) and 28% (684/ 2465), respectively, for all other counties. Counties with higher proportions of black people have higher prevalence of comorbidities and greater air pollution. Counties with higher proportions of black residents had more COVID-19 diagnoses (RR 1.24, 95% CI 1.17-1.33) and deaths (RR 1.18, 95% CI 1.00-1.40), after adjusting for county-level characteristics such as age, poverty, comorbidities, and epidemic duration. COVID-19 deaths were higher in disproportionally black rural and small metro counties. The PAF of COVID-19 diagnosis due to lack of health insurance was 3.3% for counties with <13% black residents and 4.2% for counties with >13% black residents. Conclusions: Nearly twenty-two percent of US counties are disproportionately black and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities.

Title: Assessing Differential Impacts of COVID-19 on Black Communities Content: Purpose Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in US counties to describe racial disparities in COVID-19 disease and death and associated determinants. Methods Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (>13%) black and all other (<13% black) counties. Rate ratios were calculated and population attributable fractions (PAF) were estimated using COVID-19 cases and deaths via zero-inflated negative binomial regression model. National maps with county-level data and an interactive scatterplot of COVID-19 cases were generated. Results Nearly ninety-seven percent of disproportionately black counties (656/677) reported a case and 49% (330/677) reported a death versus 81% (1987/2,465) and 28% (684/ 2465), respectively, for all other counties. Counties with higher proportions of black people have higher prevalence of comorbidities and greater air pollution. Counties with higher proportions of black residents had more COVID-19 diagnoses (RR 1.24, 95% CI 1.17-1.33) and deaths (RR 1.18, 95% CI 1.00-1.40), after adjusting for county-level characteristics such as age, poverty, comorbidities, and epidemic duration. COVID-19 deaths were higher in disproportionally black rural and small metro counties. The PAF of COVID-19 diagnosis due to lack of health insurance was 3.3% for counties with <13% black residents and 4.2% for counties with >13% black residents. Conclusions Nearly twenty-two percent of US counties are disproportionately black and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities.

Title: Policy Recommendations to Address High Risk of COVID-19 Among Immigrants Content: The health and economic consequences of COVID-19 will be devastatingly widespread, but the populations that will suffer most are those who have experienced longstanding health disparities. For example, emerging evidence strongly suggests that incidence and case fatality rates are higher among Blacks than Whites.1 Immigrants are among the groups most likely to experience disproportionate effects from COVID-19. Unlike race/ethnicity, however, nativity and citizenship status are not included on the Centers for Disease Control and Prevention's (CDC's) coronavirus case report form,2 so data regarding testing and spread across immigrant groups are likely to remain scarce. Information from other health and social surveys-including data that I present in Table 1-suggest that noncitizens experience barriers to physical distancing that will place them at high risk of contracting COVID-19 and have high levels of disadvantage that leave them vulnerable to its economic effects. I recommend three policy changes to address the high health and economic risk among noncitizens, goals that are in the best interest of public health and the broader economy. (Am J Public Health. Published online ahead of print June 25, 2020: e1-e3. doi:10.2105/AJPH.2020.305792).

Title: Policy Recommendations to Address High Risk of COVID-19 Among Immigrants. Content: The health and economic consequences of COVID-19 will be devastatingly widespread, but the populations that will suffer most are those who have experienced longstanding health disparities. For example, emerging evidence strongly suggests that incidence and case fatality rates are higher among Blacks than Whites.1 Immigrants are among the groups most likely to experience disproportionate effects from COVID-19. Unlike race/ethnicity, however, nativity and citizenship status are not included on the Centers for Disease Control and Prevention's (CDC's) coronavirus case report form,2 so data regarding testing and spread across immigrant groups are likely to remain scarce. Information from other health and social surveys-including data that I present in Table 1-suggest that noncitizens experience barriers to physical distancing that will place them at high risk of contracting COVID-19 and have high levels of disadvantage that leave them vulnerable to its economic effects. I recommend three policy changes to address the high health and economic risk among noncitizens, goals that are in the best interest of public health and the broader economy. (Am J Public Health. Published online ahead of print June 25, 2020: e1-e3. doi:10.2105/AJPH.2020.305792).

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: 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: COVID-19: A Closer Lens Content: Generations of nurses to come, now called heroes in the media, will have challenges in providing care for persons during this global pandemic. COVID-19 has impacted all demographics, regardless of race, gender, or socioeconomic class globally. African Americans have experienced a disproportionate number of deaths related to COVID-19 in the New Orleans and surrounding Metropolitan areas. According to the Louisiana Department of Health (2020), fifty-seven percent (57.40%) of the deaths in Louisiana related to COVID-19 have been African American (Black) and fifty-five percent (55.2%) have been males as of May 11, 2020. Social determinants of health are the conditions in which people age and the conditions they are born, grow, age and work. These conditions include neighborhoods, schools, and places of employment. These circumstances are shaped by the distribution of money, power, and resources at global, national, and local levels (World Health Organization, 2020). Years later the same community that comprised "pre-and post-Katrina" are now facing this pandemic.

Title: COVID-19: A Closer Lens. Content: Generations of nurses to come, now called heroes in the media, will have challenges in providing care for persons during this global pandemic. COVID-19 has impacted all demographics, regardless of race, gender, or socioeconomic class globally. African Americans have experienced a disproportionate number of deaths related to COVID-19 in the New Orleans and surrounding Metropolitan areas. According to the Louisiana Department of Health (2020), fifty-seven percent (57.40%) of the deaths in Louisiana related to COVID-19 have been African American (Black) and fifty-five percent (55.2%) have been males as of May 11, 2020. Social determinants of health are the conditions in which people age and the conditions they are born, grow, age and work. These conditions include neighborhoods, schools, and places of employment. These circumstances are shaped by the distribution of money, power, and resources at global, national, and local levels (World Health Organization, 2020). Years later the same community that comprised "pre-and post-Katrina" are now facing this pandemic.

Title: Multivariate Analysis of Black Race and Environmental Temperature on COVID-19 In the US Content: BACKGROUND: There has been much interest in environmental temperature and race as modulators of Coronavirus disease-19 (COVID-19) infection and mortality. However, in the United States race and temperature correlate with various other social determinants of health, comorbidities, and environmental influences that could be responsible for noted effects. This study investigates the independent effects of race and environmental temperature on COVID-19 incidence and mortality in United States counties. METHODS: Data on COVID-19 and risk factors in all United States counties was collected. 661 counties with at least 50 COVID-19 cases and 217 with at least 10 deaths were included in analyses. Upper and lower quartiles for cases/100,000 people and halves for deaths/100,000 people were compared with t-tests. Adjusted linear and logistic regression analyses were performed to evaluate the independent effects of race and environmental temperature. RESULTS: Multivariate regression analyses demonstrated Black race is a risk factor for increased COVID-19 cases (OR=1.22, 95% CI: 1.09-1.40, P=0.001) and deaths independent of comorbidities, poverty, access to health care, and other risk factors. Higher environmental temperature independently reduced caseload (OR=0.81, 95% CI: 0.71-0.91, P=0.0009), but not deaths. CONCLUSIONS: Higher environmental temperatures correlated with reduced COVID-19 cases, but this benefit does not yet appear in mortality models. Black race was an independent risk factor for increased COVID-19 cases and deaths. Thus, many proposed mechanisms through which Black race might increase risk for COVID-19, such as socioeconomic and healthcare-related predispositions, are inadequate in explaining the full magnitude of this health disparity.

Title: Absence of Skin of Colour Images in Publications of COVID-19 Skin Manifestations Content: There are now over 1 million confirmed cases of COVID-19 globally with more than 270,000 recorded deaths to date. COVID-19 has been shown to disproportionately impact people of colour both in the United Kingdom and in the United States where blacks make up 13.4% of the population but 30% of COVID-19 cases. Mounting evidence shows that COVID-19 impacts several organ systems, including the skin.

Title: County-Level Proportions of Black and Hispanic populations, and Socioeconomic Characteristics in Association with Confirmed COVID-19 Cases and Deaths in the United States Content: Objectives. The objective of this study was to investigate potential county-level disparities among racial/ethnic and economic groups in COVID-19 burden which was measured using confirmed cases and deaths in 100,000 population. Design. Secondary data analysis Using county-level data for 3,142 US counties was conducted in 2020. Hierarchical linear regression and concentration curve analyses were performed. The combined association of COVID-19 cases and deaths was examined separately by sociodemographic and economic characteristics of the county population. Data from the American Community Survey (ACS) 5-year estimates (2014-2018), Area Health Resources File (AHRF) 2018-2019, and 2020 COVID-19 data from Johns Hopkins University were used in this study. Results. After adjusting for covariates, US counties with a higher proportion of the black population, and a higher proportion of adults with less than high school diploma had disproportionately higher COVID-19 cases and deaths ({beta}>0, p<0.05). A higher proportion of the Hispanic population was associated with higher confirmed cases ({beta}= 1.03, 95% CI= 0.57-1.5), and higher housing cost to household income ratio was associated with higher deaths ({beta}= 3.74, 95% CI= 2.14-5.37). This can potentially aggravate the existing health disparities among these population groups. Conclusions. Identification of disproportionately impacted population groups can pave the way towards narrowing the disparity gaps and guide policymakers and stakeholders in designing and implementing population group-specific interventions to mitigate the negative consequences of COVID-19 pandemic.

Title: Mental health ramifications of the COVID-19 pandemic for Black Americans: Clinical and research recommendations Content: Mental health clinicians and researchers must be prepared to address the unique needs of Black Americans who have been disproportionately affected by the COVID-19 pandemic. Race-conscious and culturally competent interventions that consider factors such as discrimination, distrust of health care providers, and historical and racial trauma as well as protective factors including social support and culturally sanctioned coping strategies are needed. Research to accurately assess and design treatments for the mental health consequences of COVID-19 among Black Americans is warranted. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Mental health ramifications of the COVID-19 pandemic for Black Americans: Clinical and research recommendations. Content: Mental health clinicians and researchers must be prepared to address the unique needs of Black Americans who have been disproportionately affected by the COVID-19 pandemic. Race-conscious and culturally competent interventions that consider factors such as discrimination, distrust of health care providers, and historical and racial trauma as well as protective factors including social support and culturally sanctioned coping strategies are needed. Research to accurately assess and design treatments for the mental health consequences of COVID-19 among Black Americans is warranted. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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: Similarities and Differences in COVID-19 Awareness, Concern, and Symptoms by Race and Ethnicity in the United States: Cross-Sectional Survey Content: BACKGROUND: Existing health disparities based on race and ethnicity in the United States are contributing to disparities in morbidity and mortality during the coronavirus disease (COVID-19) pandemic. We conducted an online survey of American adults to assess similarities and differences by race and ethnicity with respect to COVID-19 symptoms, estimates of the extent of the pandemic, knowledge of control measures, and stigma. OBJECTIVE: The aim of this study was to describe similarities and differences in COVID-19 symptoms, knowledge, and beliefs by race and ethnicity among adults in the United States. METHODS: We conducted a cross-sectional survey from March 27, 2020 through April 1, 2020. Participants were recruited on social media platforms and completed the survey on a secure web-based survey platform. We used chi-square tests to compare characteristics related to COVID-19 by race and ethnicity. Statistical tests were corrected using the Holm Bonferroni correction to account for multiple comparisons. RESULTS: A total of 1435 participants completed the survey; 52 (3.6%) were Asian, 158 (11.0%) were non-Hispanic Black, 548 (38.2%) were Hispanic, 587 (40.9%) were non-Hispanic White, and 90 (6.3%) identified as other or multiple races. Only one symptom (sore throat) was found to be different based on race and ethnicity (P=.003); this symptom was less frequently reported by Asian (3/52, 5.8%), non-Hispanic Black (9/158, 5.7%), and other/multiple race (8/90, 8.9%) participants compared to those who were Hispanic (99/548, 18.1%) or non-Hispanic White (95/587, 16.2%). Non-Hispanic White and Asian participants were more likely to estimate that the number of current cases was at least 100,000 (P=.004) and were more likely to answer all 14 COVID-19 knowledge scale questions correctly (Asian participants, 13/52, 25.0%; non-Hispanic White participants, 180/587, 30.7%) compared to Hispanic (108/548, 19.7%) and non-Hispanic Black (25/158, 15.8%) participants. CONCLUSIONS: We observed differences with respect to knowledge of appropriate methods to prevent infection by the novel coronavirus that causes COVID-19. Deficits in knowledge of proper control methods may further exacerbate existing race/ethnicity disparities. Additional research is needed to identify trusted sources of information in Hispanic and non-Hispanic Black communities and create effective messaging to disseminate correct COVID-19 prevention and treatment information.

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: Inequity and the disproportionate impact of COVID-19 on communities of color in the United States: The need for a trauma-informed social justice response Content: COVID-19 has had disproportionate contagion and fatality in Black, Latino, and Native American communities and among the poor in the United States. Toxic stress resulting from racial and social inequities have been magnified during the pandemic, with implications for poor physical and mental health and socioeconomic outcomes. It is imperative that our country focus and invest in addressing health inequities and work across sectors to build self-efficacy and long-term capacity within communities and systems of care serving the most disenfranchised, now and in the aftermath of the COVID-19 epidemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Inequity and the disproportionate impact of COVID-19 on communities of color in the United States: The need for a trauma-informed social justice response. Content: COVID-19 has had disproportionate contagion and fatality in Black, Latino, and Native American communities and among the poor in the United States. Toxic stress resulting from racial and social inequities have been magnified during the pandemic, with implications for poor physical and mental health and socioeconomic outcomes. It is imperative that our country focus and invest in addressing health inequities and work across sectors to build self-efficacy and long-term capacity within communities and systems of care serving the most disenfranchised, now and in the aftermath of the COVID-19 epidemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Disparities in Vulnerability to Severe Complications from COVID-19 in the United States Content: This paper provides the first nationally representative estimates of vulnerability to severe complications from COVID-19 overall and across race-ethnicity and socioeconomic status. We use the Panel Study of Income Dynamics (PSID) to examine the prevalence of specific health conditions associated with complications from COVID-19 and to calculate, for each individual, an index of the risk of severe complications from respiratory infections developed by DeCaprio et al. (2020). We show large disparities across race-ethnicity and socioeconomic status in the prevalence of conditions, including hypertension, which are associated with the risk of severe complications from COVID-19. Moreover, we show that these disparities emerge early in life, prior to age 65, leading to higher vulnerability to such complications. Our results suggest particular attention should be paid to the risk of adverse outcomes in midlife for non-Hispanic blacks, adults with a high school degree or less, and low-income Americans.

Title: Sociodemographic predictors of outcomes in COVID-19: examining the impact of ethnic disparities in Northern Nevada Content: Background: On March 11, 2020, the World Health Organization declared coronavirus disease-19 (COVID-19) a pandemic. Nearly five million individuals have since been diagnosed with this increasingly common and potentially lethal viral infection. Emerging evidence suggests a disproportionate burden of illness and death among minority communities. We aimed to evaluate the effect of ethnicity on outcomes among patients diagnosed with COVID-19 in Northern Nevada. Design: Single-center, retrospective observational study Materials and methods: The electronic health records of 172 patients diagnosed with COVID-19 were obtained from a 946-bed tertiary referral center serving Northern Nevada. Demographic and clinical characteristics were compared by ethnic group (Hispanic versus non-Hispanic). Logistic regression was used to determine predictors of mortality. Results: Among 172 patients who were diagnosed with COVID-19 between March 12th and May 8th, 2020, 87 (50.6%) identified as Hispanic and 81 (47.1%) as non-Hispanic. The mean age was 46.0 among Hispanics and 55.8 among non-Hispanics. Comorbidities linked to increased COVID-19-related mortality - hypertension, obesity, and chronic obstructive pulmonary disease - were more common among the non-Hispanic population. Hispanic individuals were significantly more likely to be uninsured and to live in low-income communities as compared to their non-Hispanic counterparts (27.6% versus 8.2% and 52.9% versus 30.6%, respectively). Hispanic patients were also less likely than non-Hispanics to have a primary care provider (42.5% versus 61.2%). However, mortality was significantly higher among the non-Hispanic population (15.3% versus 5.8%). Conclusion: The COVID-19 pandemic has disproportionately affected Hispanic individuals in Northern Nevada, who account for only 25.7% of the population but over half of the confirmed cases. Hispanic individuals were younger and had fewer comorbidities than their non-Hispanic counterparts; consequently, despite considerable socioeconomic disadvantage, mortality was lower among the Hispanic population. The underlying causes of ethnic disparities in COVID-19 incidence remain to be established, but further investigation may lead to more effective community- and systems-based interventions.

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: Hospitalization and Mortality among Black Patients and White Patients with Covid-19 Content: BACKGROUND: Many reports on coronavirus disease 2019 (Covid-19) have highlighted age- and sex-related differences in health outcomes. More information is needed about racial and ethnic differences in outcomes from Covid-19. METHODS: In this retrospective cohort study, we analyzed data from patients seen within an integrated-delivery health system (Ochsner Health) in Louisiana between March 1 and April 11, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes Covid-19) on qualitative polymerase-chain-reaction assay. The Ochsner Health population is 31% black non-Hispanic and 65% white non-Hispanic. The primary outcomes were hospitalization and in-hospital death. RESULTS: A total of 3626 patients tested positive, of whom 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian or of another race or ethnic group). Of the 3481 Covid-19–positive patients included in our analyses, 60.0% were female, 70.4% were black non-Hispanic, and 29.6% were white non-Hispanic. Black patients had higher prevalences of obesity, diabetes, hypertension, and chronic kidney disease than white patients. A total of 39.7% of Covid-19–positive patients (1382 patients) were hospitalized, 76.9% of whom were black. In multivariable analyses, black race, increasing age, a higher score on the Charlson Comorbidity Index (indicating a greater burden of illness), public insurance (Medicare or Medicaid), residence in a low-income area, and obesity were associated with increased odds of hospital admission. Among the 326 patients who died from Covid-19, 70.6% were black. In adjusted time-to-event analyses, variables that were associated with higher in-hospital mortality were increasing age and presentation with an elevated respiratory rate; elevated levels of venous lactate, creatinine, or procalcitonin; or low platelet or lymphocyte counts. However, black race was not independently associated with higher mortality (hazard ratio for death vs. white race, 0.89; 95% confidence interval, 0.68 to 1.17). CONCLUSIONS: In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and clinical characteristics on admission.

Title: Hospitalization and Mortality among Black Patients and White Patients with Covid-19 Content: BACKGROUND: Many reports on coronavirus disease 2019 (Covid-19) have highlighted age- and sex-related differences in health outcomes. More information is needed about racial and ethnic differences in outcomes from Covid-19. METHODS: In this retrospective cohort study, we analyzed data from patients seen within an integrated-delivery health system (Ochsner Health) in Louisiana between March 1 and April 11, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes Covid-19) on qualitative polymerase-chain-reaction assay. The Ochsner Health population is 31% black non-Hispanic and 65% white non-Hispanic. The primary outcomes were hospitalization and in-hospital death. RESULTS: A total of 3626 patients tested positive, of whom 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian or of another race or ethnic group). Of the 3481 Covid-19-positive patients included in our analyses, 60.0% were female, 70.4% were black non-Hispanic, and 29.6% were white non-Hispanic. Black patients had higher prevalences of obesity, diabetes, hypertension, and chronic kidney disease than white patients. A total of 39.7% of Covid-19-positive patients (1382 patients) were hospitalized, 76.9% of whom were black. In multivariable analyses, black race, increasing age, a higher score on the Charlson Comorbidity Index (indicating a greater burden of illness), public insurance (Medicare or Medicaid), residence in a low-income area, and obesity were associated with increased odds of hospital admission. Among the 326 patients who died from Covid-19, 70.6% were black. In adjusted time-to-event analyses, variables that were associated with higher in-hospital mortality were increasing age and presentation with an elevated respiratory rate; elevated levels of venous lactate, creatinine, or procalcitonin; or low platelet or lymphocyte counts. However, black race was not independently associated with higher mortality (hazard ratio for death vs. white race, 0.89; 95% confidence interval, 0.68 to 1.17). CONCLUSIONS: In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and clinical characteristics on admission.

Title: Impact of COVID-19 on 2020 US life expectancy for the Black and Latino populations Content: The Black and Latino populations have experienced a disproportionate burden of COVID-19 morbidity and mortality, reflecting persistent structural inequalities that increase risk of exposure to COVID-19 and risk of death for those infected. According to the National Center for Health Statistics, as of July 4, 2020, deaths to Black and Latino individuals comprised 23% and 17%, respectively, of the approximately 115,000 COVID-19 deaths. COVID-19 mortality is likely to result in a larger decline in life expectancy during 2020 than the US has experienced for decades as well as a particularly large reduction for Black and Latino individuals. We estimate life expectancy at birth and at age 65 for 2020, by race and ethnicity, using four scenarios of deaths-one in which the COVID-19 pandemic had not occurred and three including COVID-19 mortality projections produced by the Institute for Health Metrics and Evaluation. Our most likely estimate indicates a reduction in life expectancy at birth greater than 1.5 years for both the Black and Latino populations, which is one year larger than the reduction for whites. This would imply that the Black-white gap would increase by 30%, from 3.6 to 4.7 years, thereby eliminating progress made in reducing this differential since 2008 and reversing an overall trend of steeper mortality declines among the Black population since the early 1990s. Latinos, who have consistently experienced lower mortality than whites (a phenomenon known as the Latino or Hispanic paradox), would see their survival advantage decline by 36%, equivalent to its magnitude in 2006.

Title: Absence of Skin of Colour Images in Publications of COVID‐19 Skin Manifestations Content: There are now over 1 million confirmed cases of COVID‐19 globally with more than 270,000 recorded deaths to date. COVID‐19 has been shown to disproportionately impact people of colour both in the United Kingdom and in the United States where blacks make up 13.4% of the population but 30% of COVID‐19 cases. Mounting evidence shows that COVID‐19 impacts several organ systems, including the skin.

Title: Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis Content: BACKGROUND: Public health surveillance experts are leveraging user-generated content on social media to track the spread and effects of COVID-19. However, racial and ethnic digital divides, which are disparities among people who have internet access and post on social media, can bias inferences. This bias is particularly problematic in the context of the COVID-19 pandemic because due to structural inequalities, members of racial and ethnic minority groups are disproportionately vulnerable to contracting the virus and to the deleterious economic and social effects from mitigation efforts. Further, important demographic intersections with race and ethnicity, such as gender and age, are rarely investigated in work characterizing social media users; however, they reflect additional axes of inequality shaping differential exposure to COVID-19 and its effects. OBJECTIVE: The aim of this study was to characterize how the race and ethnicity of US adults are associated with their odds of posting COVID-19 content on social media and how gender and age modify these odds. METHODS: We performed a secondary analysis of a survey conducted by the Pew Research Center from March 19 to 24, 2020, using a national probability sample (N=10,510). Respondents were recruited from an online panel, where panelists without an internet-enabled device were given one to keep at no cost. The binary dependent variable was responses to an item asking whether respondents "used social media to share or post information about the coronavirus." We used survey-weighted logistic regressions to estimate the odds of responding in the affirmative based on the race and ethnicity of respondents (white, black, Latino, other race/ethnicity), adjusted for covariates measuring sociodemographic background and COVID-19 experiences. We examined how gender (female, male) and age (18 to 30 years, 31 to 50 years, 51 to 64 years, and 65 years and older) intersected with race and ethnicity by estimating interactions. RESULTS: Respondents who identified as black (odds ratio [OR] 1.29, 95% CI 1.02-1.64; P=.03), Latino (OR 1.66, 95% CI 1.36-2.04; P<.001), or other races/ethnicities (OR 1.33, 95% CI 1.02-1.72; P=.03) had higher odds than respondents who identified as white of reporting that they posted COVID-19 content on social media. Women had higher odds of posting than men regardless of race and ethnicity (OR 1.58, 95% CI 1.39-1.80; P<.001). Among men, respondents who identified as black, Latino, or members of other races/ethnicities were significantly more likely to post than respondents who identified as white. Older adults (65 years or older) had significantly lower odds (OR 0.73, 95% CI 0.57-0.94; P=.01) of posting compared to younger adults (18-29 years), particularly among those identifying as other races/ethnicities. Latino respondents were the most likely to report posting across all age groups. CONCLUSIONS: In the United States, members of racial and ethnic minority groups are most likely to contribute to COVID-19 content on social media, particularly among groups traditionally less likely to use social media (older adults and men). The next step is to ensure that data collection procedures capture this diversity by encompassing a breadth of search criteria and social media platforms.

Title: Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis Content: BACKGROUND: Public health surveillance experts are leveraging user-generated content on social media to track the spread and effects of COVID-19. However, racial and ethnic digital divides, which are disparities among people who have internet access and post on social media, can bias inferences. This bias is particularly problematic in the context of the COVID-19 pandemic because due to structural inequalities, members of racial and ethnic minority groups are disproportionately vulnerable to contracting the virus and to the deleterious economic and social effects from mitigation efforts. Further, important demographic intersections with race and ethnicity, such as gender and age, are rarely investigated in work characterizing social media users; however, they reflect additional axes of inequality shaping differential exposure to COVID-19 and its effects. OBJECTIVE: The aim of this study was to characterize how the race and ethnicity of US adults are associated with their odds of posting COVID-19 content on social media and how gender and age modify these odds. METHODS: We performed a secondary analysis of a survey conducted by the Pew Research Center from March 19 to 24, 2020, using a national probability sample (N=10,510). Respondents were recruited from an online panel, where panelists without an internet-enabled device were given one to keep at no cost. The binary dependent variable was responses to an item asking whether respondents “used social media to share or post information about the coronavirus.” We used survey-weighted logistic regressions to estimate the odds of responding in the affirmative based on the race and ethnicity of respondents (white, black, Latino, other race/ethnicity), adjusted for covariates measuring sociodemographic background and COVID-19 experiences. We examined how gender (female, male) and age (18 to 30 years, 31 to 50 years, 51 to 64 years, and 65 years and older) intersected with race and ethnicity by estimating interactions. RESULTS: Respondents who identified as black (odds ratio [OR] 1.29, 95% CI 1.02-1.64; P=.03), Latino (OR 1.66, 95% CI 1.36-2.04; P<.001), or other races/ethnicities (OR 1.33, 95% CI 1.02-1.72; P=.03) had higher odds than respondents who identified as white of reporting that they posted COVID-19 content on social media. Women had higher odds of posting than men regardless of race and ethnicity (OR 1.58, 95% CI 1.39-1.80; P<.001). Among men, respondents who identified as black, Latino, or members of other races/ethnicities were significantly more likely to post than respondents who identified as white. Older adults (65 years or older) had significantly lower odds (OR 0.73, 95% CI 0.57-0.94; P=.01) of posting compared to younger adults (18-29 years), particularly among those identifying as other races/ethnicities. Latino respondents were the most likely to report posting across all age groups. CONCLUSIONS: In the United States, members of racial and ethnic minority groups are most likely to contribute to COVID-19 content on social media, particularly among groups traditionally less likely to use social media (older adults and men). The next step is to ensure that data collection procedures capture this diversity by encompassing a breadth of search criteria and social media platforms.

Title: The disproportionate rise in COVID-19 cases among Hispanic/Latinx in disadvantaged communities of Orange County, California: A socioeconomic case-series Content: Background: Recent epidemiological evidence has demonstrated a higher rate of COVID-19 hospitalizations and deaths among minorities. This pattern of race-ethnic disparities emerging throughout the United States raises the question of what social factors may influence spread of a highly transmissible novel coronavirus. The purpose of this study is to describe race-ethnic and socioeconomic disparities associated with COVID-19 in patients in our community in Orange County, California and understand the role of individual-level factors, neighborhood-level factors, and access to care on outcomes. Methods: This is a case-series of COVID-19 patients from the University of California, Irvine (UCI) across six-weeks between 3/12/2020 and 4/22/2020. Note, California's shelter-in-place order began on 3/19/2020. Individual-level factors included race-ethnicity status were recorded. Neighborhood-level factors from census tracts included median household income, mean household size, proportion without a college degree, proportion working from home, and proportion without health insurance were also recorded. Results: A total of 210-patients tested were COVID-19 positive, of which 73.3% (154/210) resided in Orange County. Hispanic/Latinx patients residing in census tracts below the median income demonstrated exponential growth (rate = 55.9%, R2 = 0.9742) during the study period. In addition, there was a significant difference for both race-ethnic (p < 0.001) and income bracket (p = 0.001) distributions prior to and after California's shelter-in-place. In addition, the percentage of individuals residing in neighborhoods with denser households (p = 0.046), lower levels of college graduation (p < 0.001), health insurance coverage (p = 0.01), and ability to work from home (p < 0.001) significantly increased over the same timeframe. Conclusions and Relevance: Our study examines the race-ethnic disparities in Orange County, CA, and highlights vulnerable populations that are at increased risk for contracting COVID-19. Our descriptive case series illustrates that we also need to consider socioeconomic factors, which ultimately set the stage for biological and social disparities.

Title: Ethnicity, comorbidity, socioeconomic status, and their associations with COVID-19 infection in England: a cohort analysis of UK Biobank data Content: Objectives: Recent data suggest higher COVID-19 rates and severity in Black, Asian, and minority ethnic (BAME) communities. The mechanisms underlying such associations remain unclear. We aimed to study the association between ethnicity and risk of COVID-19 infection and disentangle any correlation with socioeconomic deprivation or previous comorbidity. Design: Prospective cohort. Setting: UK Biobank linked to Hospital Episode Statistics (HES) and COVID-19 tests until 14 April 2020. Participants: UK Biobank participants from England, excluding drop-outs and deaths. Main measures: COVID-19 infection based on a positive PCR test. Ethnicity was self-reported and classified using Office of National Statistics groups. Socioeconomic status was based on index of multiple deprivation quintiles. Comorbidities were self-reported and completed from HES. Analyses: Multivariable Poisson analysis to estimate incidence rate ratios of COVID-19 infection according to ethnicity, adjusted for socioeconomic status, alcohol drinking, smoking, body mass index, age, sex, and comorbidity. Results: 415,582 participants were included, with 1,416 tested and 651 positive for COVID-19. The incidence of COVID-19 was 0.61% (95% CI: 0.46%-0.82%) in Black/Black British participants, 0.32% (0.19%-0.56%) in other ethnicities, 0.32% (0.23%-0.47%) in Asian/Asian British, 0.30% (0.11%-0.80%) in Chinese, 0.16% (0.06%-0.41%) in mixed, and 0.14% (0.13%-0.15%) in White. Compared with White participants, Black/Black British participants had an adjusted relative risk (RR) of 3.30 (2.39-4.55), Chinese participants 3.00 (1.11-8.06), Asian/Asian British participants 2.04 (1.36-3.07), other ethnicities 1.93 (1.08-3.45), and mixed ethnicities 1.07 (0.40-2.86). Socioeconomic status (adjusted RR 1.93 (1.51-2.46) for the most deprived), obesity (adjusted RR 1.04 (1.02-1.05) per kg/m2) and comorbid hypertension, chronic obstructive pulmonary disease, asthma, and specific renal diseases were also associated with increased risk of COVID-19. Conclusions: COVID-19 rates in the UK are higher in BAME communities, those living in deprived areas, obese patients, and patients with previous comorbidity. Public health strategies are needed to reduce COVID-19 infections among the most susceptible groups.

Title: Racial and ethnic determinants of Covid-19 risk Content: Background Racial and ethnic minorities have disproportionately high hospitalization rates and mortality related to the novel coronavirus disease 2019 (Covid-19). There are comparatively scant data on race and ethnicity as determinants of infection risk. Methods We used a smartphone application (beginning March 24, 2020 in the United Kingdom [U.K.] and March 29, 2020 in the United States [U.S.]) to recruit 2,414,601 participants who reported their race/ethnicity through May 25, 2020 and employed logistic regression to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for a positive Covid-19 test among racial and ethnic groups. Results We documented 8,858 self-reported cases of Covid-19 among 2,259,841 non-Hispanic white; 79 among 9,615 Hispanic; 186 among 18,176 Black; 598 among 63,316 Asian; and 347 among 63,653 other racial minority participants. Compared with non-Hispanic white participants, the risk for a positive Covid-19 test was increased across racial minorities (aORs ranging from 1.24 to 3.51). After adjustment for socioeconomic indices and Covid-19 exposure risk factors, the associations (aOR [95% CI]) were attenuated but remained significant for Hispanic (1.58 [1.24-2.02]) and Black participants (2.56 [1.93-3.39]) in the U.S. and South Asian (1.52 [1.38-1.67]) and Middle Eastern participants (1.56 [1.25-1.95]) in the U.K. A higher risk of Covid-19 and seeking or receiving treatment was also observed for several racial/ethnic minority subgroups. Conclusions Our results demonstrate an increase in Covid-19 risk among racial and ethnic minorities not completely explained by other risk factors for Covid-19, comorbidities, and sociodemographic characteristics. Further research investigating these disparities are needed to inform public health measures.

Title: Covid-19 by Race and Ethnicity: A National Cohort Study of 6 Million United States Veterans Content: BACKGROUND: There is growing concern that racial and ethnic minority communities around the world are experiencing a disproportionate burden of morbidity and mortality from symptomatic SARS-Cov-2 infection or coronavirus disease 2019 (Covid-19). Most studies investigating racial and ethnic disparities to date have focused on hospitalized patients or have not characterized who received testing or those who tested positive for Covid-19. OBJECTIVE: To compare patterns of testing and test results for coronavirus 2019 (Covid-19) and subsequent mortality by race and ethnicity in the largest integrated healthcare system in the United States. DESIGN: Retrospective cohort study. SETTING: United States Department of Veterans Affairs (VA). PARTICIPANTS: 5,834,543 individuals in care, among whom 62,098 were tested and 5,630 tested positive for Covid-19 between February 8 and May 4, 2020. EXPOSURES: Self-reported race/ethnicity. MAIN OUTCOME MEASURES: We evaluated associations between race/ethnicity and receipt of Covid-19 testing, a positive test result, and 30-day mortality, accounting for a wide range of demographic and clinical risk factors including comorbid conditions, site of care, and urban versus rural residence. RESULTS: Among all individuals in care, 74% were non-Hispanic white (white), 19% non-Hispanic black (black), and 7% Hispanic. Compared with white individuals, black and Hispanic individuals were more likely to be tested for Covid-19 (tests per 1000: white=9.0, [95% CI 8.9 to 9.1]; black=16.4, [16.2 to 16.7]; and Hispanic=12.2, [11.9 to 12.5]). While individuals from minority backgrounds were more likely to test positive (black vs white: OR 1.96, 95% CI 1.81 to 2.12; Hispanic vs white: OR 1.73, 95% CI 1.53 to 1.96), 30-day mortality did not differ by race/ethnicity (black vs white: OR 0.93, 95% CI 0.64 to 1.33; Hispanic vs white: OR 1.07, 95% CI 0.61 to 1.87). CONCLUSIONS: Black and Hispanic individuals are experiencing an excess burden of Covid-19 not entirely explained by underlying medical conditions or where they live or receive care. While there was no observed difference in mortality by race or ethnicity, our findings may underestimate risk in the broader US population as health disparities tend to be reduced in VA.

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: The association of race and COVID-19 mortality Content: BACKGROUND: COVID-19 mortality disproportionately affects the Black population in the United States (US). To explore this association a cohort study was undertaken. METHODS: We assembled a cohort of 505,992 patients receiving ambulatory care at Bronx Montefiore Health System (BMHS) between 1/1/18 and 1/1/20 to evaluate the relative risk of hospitalization and death in two time-periods, the pre-COVID time-period (1/1/20–2/15/20) and COVID time-period (3/1/20–4/15/20). COVID testing, hospitalization and mortality were determined with the Black and Hispanic patient population compared separately to the White population using logistic modeling. Evaluation of the interaction of pre-COVID and COVID time periods and race, with respect to mortality was completed. FINDINGS: A total of 9,286/505,992 (1.8%) patients were hospitalized during either or both pre-COVID or COVID periods. Compared to Whites the relative risk of hospitalization of Black patients did not increase in the COVID period (p for interaction=0.12). In the pre- COVID period, compared to Whites, the odds of death for Blacks and Hispanics adjusted for comorbidity was statistically equivalent. In the COVID period compared to Whites the adjusted odds of death for Blacks was 1.6 (95% CI 1.2–2.0, p = 0.001). There was a significant increase in Black mortality risk from pre-COVID to COVID periods (p for interaction=0.02). Adjustment for relevant clinical and social indices attenuated but did not fully explain the observed difference in Black mortality. INTERPRETATION: The BMHS COVID experience demonstrates that Blacks do have a higher mortality with COVID incompletely explained by age, multiple reported comorbidities and available metrics of sociodemographic disparity. FUNDING: N/A

Title: Differential occupational risk for COVID-19 and other infection exposure according to race and ethnicity Content: BACKGROUND: There are racial and ethnic disparities in the risk of contracting COVID-19. This study sought to assess how occupational segregation according to race and ethnicity may contribute to the risk of COVID-19. METHODS: Data about employment in 2019 by industry and occupation and race and ethnicity were obtained from the Bureau of Labor Statistics Current Population Survey. This data was combined with information about industries according to whether they were likely or possibly essential during the COVID-19 pandemic and the frequency of exposure to infections and close proximity to others by occupation. The percentage of workers employed in essential industries and occupations with a high risk of infection and close proximity to others by race and ethnicity was calculated. RESULTS: People of color were more likely to be employed in essential industries and in occupations with more exposure to infections and close proximity to others. Black workers in particular faced an elevated risk for all of these factors. CONCLUSION: Occupational segregation into high-risk industries and occupations likely contributes to differential risk with respect to COVID-19. Providing adequate projection to workers may help to reduce these disparities.

Title: Racial and Ethnic Disparities in Population Level Covid-19 Mortality Content: Background: Current reporting of Covid-19 mortality data by race and ethnicity across the United States could bias our understanding of population-mortality disparities. Moreover, stark differences in age distribution by race and ethnicity groups are seldom accounted for in analyses. Methods: To address these gaps, we conducted a cross-sectional study using publicly-reported Covid-19 mortality data to assess the quality of race and ethnicity data (Black, Latinx, white), and estimated age-adjusted disparities using a random effects meta-analytic approach. Results: We found only 28 states, and NYC, reported race and ethnicity-stratified Covid-19 mortality along with large variation in the percent of missing race and ethnicity data by state. Aggregated relative risk of death estimates for Black compared to the white population was 3.57 (95% CI: 2.84-4.48). Similarly, Latinx population displayed 1.88 (95% CI: 1.61-2.19) times higher risk of death than white patients. Discussion: In states providing race and ethnicity data, we identified significant population-level Covid-19 mortality disparities. We demonstrated the importance of adjusting for age differences across population groups to prevent underestimating disparities in younger population groups. The availability of high-quality and comprehensive race and ethnicity data is necessary to address factors contributing to inequity in Covid-19 mortality.

Title: A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19 Content: Background. People of minority ethnic background may be disproportionately affected by severe COVID-19 for reasons that are unclear. We sought to examine the relationship between ethnic background and (1) hospital admission for severe COVID-19; (2) in-hospital mortality. Methods. We conducted a case-control study of 872 inner city adult residents admitted to hospital with confirmed COVID-19 (cases) and 3,488 matched controls randomly sampled from a primary healthcare database comprising 344,083 people resident in the same region. To examine in-hospital mortality, we conducted a cohort study of 1827 adults consecutively admitted with COVID-19. Data collected included hospital admission for COVID-19, demographics, comorbidities, in-hospital mortality. The primary exposure variable was self-defined ethnicity. Results. The 872 cases comprised 48.1% Black, 33.7% White, 12.6% Mixed/Other and 5.6% Asian patients. In conditional logistic regression analyses, Black and Mixed/Other ethnicity were associated with higher admission risk than white (OR 3.12 [95% CI 2.63-3.71] and 2.97 [2.30- 3.85] respectively). Adjustment for comorbidities and deprivation modestly attenuated the association (OR 2.28 [1.87-2.79] for Black, 2.66 [2.01-3.52] for Mixed/Other). Asian ethnicity was not associated with higher admission risk (OR 1.20 [0.86-1.66]). In the cohort study of 1827 patients, 455 (28.9%) died over a median (IQR) of 8 (4-16) days. Age and male sex, but not Black (adjusted HR 0.84 [0.63-1.11]) or Mixed/Other ethnicity (adjusted HR 0.69 [0.43-1.10]), were associated with in-hospital mortality. Asian ethnicity was associated with higher in-hospital mortality (adjusted HR 1.54 [0.98-2.41]). Conclusions. Black and Mixed ethnicity are independently associated with greater admission risk with COVID-19 and may be risk factors for development of severe disease. Comorbidities and socioeconomic factors only partly account for this and additional ethnicity-related factors may play a large role. The impact of COVID-19 may be different in Asians.

Title: Disparities In Outcomes Among COVID-19 Patients In A Large Health Care System In California. Content: As the coronavirus disease (COVID-19) pandemic spreads throughout the United States, evidence is mounting that racial and ethnic minorities and socioeconomically disadvantaged groups are bearing a disproportionate burden of illness and death. We conducted a retrospective cohort analysis of COVID-19 patients at Sutter Health, a large integrated health care system in northern California, to measure potential disparities. We used Sutter's integrated electronic health record to identify adults with suspected and confirmed COVID-19, and used multivariable logistic regression to assess risk of hospitalization, adjusting for known risk factors, such as race/ethnicity, sex, age, health, and socioeconomic variables. We analyzed 1,052 confirmed cases of COVID-19 from January 1-April 8, 2020. Among our findings, we observed that, compared with non-Hispanic white patients, African Americans had 2.7 times the odds of hospitalization, after adjusting for age, sex, comorbidities, and income. We explore possible explanations for this, including societal factors that either result in barriers to timely access to care or create circumstances in which patients view delaying care as the most sensible option. Our study provides real-world evidence that there are racial and ethnic disparities in the presentation of COVID-19. [Editor's Note: This Fast Track Ahead Of Print article is the accepted version of the peer-reviewed manuscript. The final edited version will appear in an upcoming issue of Health Affairs.].

Title: Social Vulnerability and Equity: The Disproportionate Impact of COVID‐19 Content: As the architect of racial disparity, racism shapes the vulnerability of communities. Socially vulnerable communities are less resilient in their ability to respond to and recover from natural and man‐made disasters when compared to resourced communities. This essay argues that racism exposes existing practices and structures in public administration that, along with the effects of COVID‐19, have led to disproportionate infection and death rates of Black people. Using the Centers for Disease Control's Social Vulnerability Index (SVI) authors analyze the ways Black bodies occupy the most vulnerable communities, making them bear the brunt of COVID‐19’s impact. Findings suggest that existing disparities exacerbate COVID‐19 outcomes for Black people. Targeted universalism is offered as an administrative framework to meet the needs of all people impacted by COVID‐19. This article is protected by copyright. All rights reserved.

Title: Even more to handle: Additional sources of stress and trauma for clients from marginalized racial and ethnic groups in the United States during the COVID-19 pandemic Content: In addition the general stressors occurring as a result of the COVID-19 pandemic, individuals who are members of marginalized racial or ethnic minority groups in the United States may face additional stressors, such as pandemic-related, racially-based prejudice and discrimination and the magnification of pre-existing health disparities and their effects. Such stressors may increase pandemic-related and general health risks both directly and indirectly and increase the risk for both general and traumatic stress. These stressors and their historical and social contexts are discussed, and implications for clinicians are provided.

Title: Differential occupational risk for COVID‐19 and other infection exposure according to race and ethnicity Content: BACKGROUND: There are racial and ethnic disparities in the risk of contracting COVID‐19. This study sought to assess how occupational segregation according to race and ethnicity may contribute to the risk of COVID‐19. METHODS: Data about employment in 2019 by industry and occupation and race and ethnicity were obtained from the Bureau of Labor Statistics Current Population Survey. This data was combined with information about industries according to whether they were likely or possibly essential during the COVID‐19 pandemic and the frequency of exposure to infections and close proximity to others by occupation. The percentage of workers employed in essential industries and occupations with a high risk of infection and close proximity to others by race and ethnicity was calculated. RESULTS: People of color were more likely to be employed in essential industries and in occupations with more exposure to infections and close proximity to others. Black workers in particular faced an elevated risk for all of these factors. CONCLUSION: Occupational segregation into high‐risk industries and occupations likely contributes to differential risk with respect to COVID‐19. Providing adequate projection to workers may help to reduce these disparities.

Title: For us, COVID-19 is personal Content: We are colleagues and friends working together in busy emergency departments in Washington DC. As Black physicians working in urban America, we do not find the recent deluge of news reports chronicling the disproportionate effect that the coronavirus disease (COVID-19) pandemic is having on the disenfranchised and minority populations in our country shocking. We have long been witness to and are in a constant state of alarm over the legal, medical, educational, social and economic inequities faced by the most vulnerable residents of this country.

Title: Mental health and COVID-19: is the virus racist? Content: COVID-19 has changed our lives and it appears to be especially harmful for some groups more than others. Black and Asian ethnic minorities are at particular risk and have reported greater mortality and intensive care needs. Mental illnesses are more common among Black and ethnic minorities, as are crisis care pathways including compulsory admission. This editorial sets out what might underlie these two phenomena, explaining how societal structures and disadvantage generate and can escalate inequalities in crises.

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: Clinical, Behavioral and Social Factors Associated with Racial Disparities in Hospitalized and Ambulatory COVID-19 Patients from an Integrated Health Care System in Georgia Content: Introduction: Racial and ethnic minorities have shouldered a disproportioned burden of coronavirus disease 2019 (COVID-19) infection to date in the US, but data on the various drivers of these disparities is limited. Objectives: To describe the characteristics and outcomes of COVID-19 patients and explore factors associated with hospitalization risk by race. Methods: Case series of 448 consecutive patients with confirmed COVID-19 seen at Kaiser Permanente Georgia (KPGA), an integrated health care system serving the Atlanta metropolitan area, from March 3 to May 12, 2020. KPGA members with laboratory-confirmed COVID-19. Multivariable analyses for hospitalization risk also included an additional 3489 persons under investigation (PUI) with suspected infection. COVID-19 treatment and outcomes, underlying comorbidities and quality of care management metrics, socio-demographic and other individual and community-level social determinants of health (SDOH) indicators. Results: Of 448 COVID-19 positive members, 68,3% was non-Hispanic Black (n=306), 18% non-Hispanic White (n=81) and 13,7% Other race (n=61). Median age was 54 [IQR 43-63) years. Overall, 224 patients were hospitalized, median age 60 (50-69) years. Black race was a significant factor in the Confirmed + PUI, female and male models (ORs from 1.98 to 2.19). Obesity was associated with higher hospitalization odds in the confirmed, confirmed + PUI, Black and male models (ORs from 1.78 to 2.77). Chronic disease control metrics (diabetes, hypertension, hyperlipidemia) were associated with lower odds of hospitalization ranging from 48% to 35% in the confirmed + PUI and Black models. Self-reported physical inactivity was associated with 50% higher hospitalization odds in the Black and Female models. Residence in the Northeast region of Atlanta was associated with lower hospitalization odds in the Confirmed + PUI, White and female models (ORs from 0.22 to 0.64) Conclusions: We found that non-Hispanic Black KPGA members had a disproportionately higher risk of infection and, after adjusting for covariates, twice the risk of hospitalization compared to other race groups. We found no significant differences in clinical outcomes or mortality across race/ethnicity groups. In addition to age, sex and comorbidity burden, pre-pandemic self-reported exercise, metrics on quality of care and control of underlying cardio-metabolic diseases, and location of residence in Atlanta were significantly associated with hospitalization risk by race groups. Beyond well-known physiologic and clinical factors, individual and community-level social indicators and health behaviors must be considered as interventions designed to reduce COVID-19 disparities and the systemic effects of racism are implemented.

Title: Improved measurement of racial/ethnic disparities in COVID-19 mortality in the United States Content: Different estimation methods produce diverging accounts of racial/ethnic disparities in COVID-19 mortality in the United States. The Center for Disease Control's decision to present the racial/ethnic distribution of COVID-19 deaths at the state level alongside the weighted racial/ethnic distribution of the counties within each state reporting those death -- in effect, a geographic adjustment -- makes it seem that Whites have the highest death rates. Age adjustment procedures used by others, including the New York City Department of Health and Mental Hygiene, lead to the opposite conclusion that Blacks and Hispanics are dying from COVID-19 at higher rates than Whites. In this paper, we use indirect standardization methods to adjust per capita death rates for both age and geography simultaneously, avoiding the one-sided adjustment procedures currently in use. Using CDC data, we find age-and-place-adjusted COVID-19 death rates are 80% higher for Blacks and over 50% higher for Hispanics, relative to Whites, on a national level. State-specific estimates show wide variation in mortality disparities. Comparison with nonepidemic mortality reveals potential roles for preexisting health disparities and differential rates of infection and care.

Title: Framing a Needed Discourse on Health Disparities and Social Inequities: Drawing Lessons from a Pandemic Content: COVID‐19 provides numerous opportunities for policymakers to consider matters of social equity in relation to the field of public health. Specifically, by reflecting on health disparities in relation to the disproportionate impact of COVID‐19 on minority and historically underserved populations, we can leverage a needed discourse on health outcomes for many communities. Grounded in the social determinants of health conceptual framework, this article explores the application of the disproportionate impact of COVID‐19 on vulnerable populations and communities of color for a discussion on strategies for minimizing health disparities. This article is protected by copyright. All rights reserved.

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: Understanding COVID-19 Risks and Vulnerabilities among Black Communities in America: The Lethal Force of Syndemics Content: Black communities in the United States are bearing the brunt of the COVID-19 pandemic and the underlying conditions that exacerbate its negative consequences. Syndemic theory provides a useful framework for understanding how such interacting epidemics to develop under conditions of health and social disparity. Multiple historical and present-day factors have created the syndemic conditions within which Black Americans experience the lethal force of COVID-19. These factors include racism and its manifestations (e.g., chattel slavery, mortgage redlining, political gerrymandering, lack of Medicaid expansion, employment discrimination, and healthcare provider bias). Improving racial disparities in COVID-19 will require that we implement policies that address structural racism at the root of these disparities.

Title: Identification of Vulnerable Populations and Areas at Higher Risk of COVID-19 Related Mortality in the U.S. Content: Background The role of health-related disparities including sociodemographic, environmental, and critical care capacity in the COVID-19 pandemic are poorly understood. In the present study, we characterized vulnerable populations located in areas at higher risk of COVID-19 related mortality and low critical healthcare capacity in the U.S. Methods Using Bayesian multilevel analysis and small area disease risk mapping, we assessed the spatial variation of COVID-19 related mortality risk for the U.S. in relation with healthcare disparities including race, ethnicity, poverty, air quality, and critical healthcare capacity. Results Overall, highly populated, regional air hub areas, and minorities had an increased risk of COVID-19 related mortality. We found that with an increase of only 1 ug/m3 in long term PM2.5 exposure, the COVID-19 mortality rate increased by 13%. Counties with major air hubs had 18% increase in COVID-19 related death compared to counties with no airport connectivity. Sixty-eight percent of the counties with high COVID-19 related mortality risk were also counties with lower critical care capacity than national average. These counties were primary located at the North- and South-Eastern regions of the country. Conclusion The existing disparity in health and environmental risk factors that exacerbate the COVID-19 related mortality, along with the regional healthcare capacity, determine the vulnerability of populations to COVID-19 related mortality. The results from this study can be used to guide the development of strategies for the identification and targeting preventive strategies in vulnerable populations with a higher proportion of minority groups living in areas with poor air quality and low healthcare capacity.

Title: Social Workers Must Address Intersecting Vulnerabilities among Noninstitutionalized, Black, Latinx, and Older Adults of Color during the COVID-19 Pandemic Content: Scant attention has been paid to intersecting vulnerabilities experienced by Black, Latinx, and older adults of color (BLOAC) that increase COVID-19 related risks. Structural inequities have resulted in disproportionate rates of chronic conditions and limited access to care. Media coverage, focused on COVID-19 mortality among institutionalized older adults (OA), has overlooked community-dwelling OA, leaving their unique risks unaddressed in research and intervention efforts. Key vulnerabilities impacting noninstitutionalized BLOAC exacerbating adverse health outcomes during COVID-19 are discussed, and recommendations are given for gerontological social work (GSW) education, training, and practice to meet the needs of BLOAC during the COVID-19 pandemic.

Title: Social Workers Must Address Intersecting Vulnerabilities among Noninstitutionalized, Black, Latinx, and Older Adults of Color during the COVID-19 Pandemic. Content: Scant attention has been paid to intersecting vulnerabilities experienced by Black, Latinx, and older adults of color (BLOAC) that increase COVID-19 related risks. Structural inequities have resulted in disproportionate rates of chronic conditions and limited access to care. Media coverage, focused on COVID-19 mortality among institutionalized older adults (OA), has overlooked community-dwelling OA, leaving their unique risks unaddressed in research and intervention efforts. Key vulnerabilities impacting noninstitutionalized BLOAC exacerbating adverse health outcomes during COVID-19 are discussed, and recommendations are given for gerontological social work (GSW) education, training, and practice to meet the needs of BLOAC during the COVID-19 pandemic.

Title: Ethnic Disparities in Hospitalization for COVID-19: a Community-Based Cohort Study in the UK Content: IMPORTANCE: Differentials in COVID-19 incidence, hospitalization and mortality according to ethnicity are being reported but their origin is uncertain. OBJECTIVE: We aimed to explain any ethnic differentials in COVID-19 hospitalization based on socioeconomic, lifestyle, mental and physical health factors. DESIGN: Prospective cohort study with national registry linkage to hospitalisation for COVID-19. SETTING: Community-dwelling. PARTICIPANTS: 340,966 men and women (mean age 56.2 (SD=8.1) years; 54.3% women) residing in England from the UK Biobank study. EXPOSURES: Ethnicity classified as White, Black, Asian, and Others. MAIN OUTCOME(S) AND MEASURE(S): Cases of COVID-19 serious enough to warrant a hospital admission in England from 16-March-2020 to 26-April-2020. RESULTS: There were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of being hospitalised (odds ratio; 95% confidence interval: =4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the ‘other’ non-white group (1.84; 1.13, 2.99). After controlling for 15 confounding factors which included neighbourhood deprivation, education, number in household, smoking, markers of body size, inflammation, and glycated haemoglobin, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31). CONCLUSIONS AND RELEVANCE: Our findings show clear ethnic differences in risk of hospitalization for COVID-19 which do not appear to be fully explained by known explanatory factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.

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: Multivariate Analysis of Factors Affecting COVID-19 Case and Death Rate in U.S. Counties: The Significant Effects of Black Race and Temperature Content: Objectives: Coronavirus disease-19 (COVID-19) has spread rapidly around the world, and many risk factors including patient demographics, social determinants of health, environmental variables, underlying health conditions, and adherence to social distancing have been hypothesized to affect case and death rates. However, little has been done to account for the potential confounding effects of these factors. Using a large multivariate analysis, this study illuminates modulators of COVID-19 incidence and mortality in U.S. counties while controlling for risk factors across multiple domains. Methods: Data on COVID-19 and various risk factors in all U.S. counties was collected from publicly available data sources through April 14, 2020. Counties with at least 50 COVID-19 cases were included in case analyses and those with at least 10 deaths were included in mortality models. The 661 counties meeting inclusion criteria for number of cases were grouped into quartiles and comparisons of risk factors were made using t-tests between the highest and lowest quartiles. Similar comparisons for 217 counties were made for above average and below average deaths/100,000. Adjusted linear and logistic regression analyses were performed to evaluate the independent effects of factors that significantly impacted cases and deaths. Results: Univariate analyses demonstrated numerous significant differences between cohorts for both cases and deaths. Risk factors associated with increased cases and/or deaths per 100,000 included increased GDP per capita, decreased social distancing, increased age, increased percent Black, decreased percent Hispanic, decreased percent Asian, decreased health, increased poverty, increased diabetes, increased coronary heart disease, increased physical inactivity, increased alcohol consumption, increased tobacco use, and decreased access to primary care. Multivariate regression analyses demonstrated Black race is a risk factor for worse COVID-19 outcome independent of comorbidities, poverty, access to health care, and other mitigating factors. Lower daily temperatures was also an independent risk factor in case load but not deaths. Conclusions: U.S. counties with a higher proportion of Black residents are associated with increased COVID-19 cases and deaths. However, the various suggested mechanisms, such as socioeconomic and healthcare predispositions, did not appear to drive the effect of race in our model. Counties with higher average daily temperatures are also associated with decreased COVID-19 cases but not deaths. Several theories are posited to explain these findings, including prevalence of vitamin D deficiency. Additional studies are needed to further understand these effects.

Title: Effect of socioeconomic and ethnic characteristics on COVID-19 infection: The case of the Ultra-Orthodox and the Arab communities in Israel Content: Background. During infectious disease outbreaks the weakest communities are more vulnerable to the infection and its deleterious effects. In Israel, the Arab and Ultra-Orthodox Jewish communities have unique demographic and cultural characteristics that place them at risk for infection. Objective. To examine the socioeconomic and ethnic differences in relation to COVID-19 testing, cases and deaths, and to analyze infection spread patterns in ethnically diverse communities. Methods. Consecutive data on COVID-19 diagnostic testing, confirmed cases and deaths collected from March 31st through May 1st, 2020 in 174 localities across Israel (84% of the population) were analyzed by socioeconomic ranking and ethnicity. Findings. Tests were performed on 331,594 individuals (4.29% of the total population). Of those, 14,865 individuals (4.48%) were positive and 203 died (1.37% of confirmed cases). The percentage of the population tested was 26% and the risk of testing positive was 2.16 times higher in the lowest, compared with the highest socioeconomic category. The proportion of confirmed cases was 4.96 times higher in the Jewish compared with the Arab population. The rate of confirmed cases in 2 Ultra-Orthodox localities increased relatively early and quickly. Other Jewish and Arab localities showed consistently low rates of confirmed COVID-19 cases, regardless of socioeconomic ranking. Interpretation Culturally different communities reacted differently to the COVID-19 outbreak and to government measures, resulting in different outcomes. Therefore, socioeconomic and ethnic variables cannot fully explain communities reaction to the pandemic. Our findings stress the need for designing a culturally adapted approach for dealing with health crises.

Title: Ethnic disparities in hospitalisation for COVID-19 in England: The role of socioeconomic factors, mental health, and inflammatory and pro-inflammatory factors in a community-based cohort study Content: BACKGROUND: Differentials in COVID-19 hospitalisations and mortality according to ethnicity have been reported but their origin is uncertain. We examined the role of socioeconomic, mental health, and pro-inflammatory factors in a community-based sample. METHODS: We used data on 340,966 men and women (mean age 56.2 years) from the UK Biobank study, a prospective cohort study with linkage to hospitalisation for COVID-19. Logistic regression models were used to estimate associations between ethnicity and hospitalisation for COVID-19. RESULTS: There were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of COVID-19 infection (odds ratio; 95% confidence interval: 4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the 'other' non-white group (1.84; 1.13, 2.99). After controlling for potential explanatory factors which included neighbourhood deprivation, household crowding, smoking, body size, inflammation, glycated haemoglobin, and mental illness, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31). CONCLUSIONS: There were clear ethnic differences in risk of COVID-19 hospitalisation and these do not appear to be fully explained by measured factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.

Title: A culturally specific mental health and spirituality approach for African Americans facing the COVID-19 pandemic Content: A series of 15-min videos were produced to provide resources to pastors in African-American communities to aid them in conveying accurate public and mental health information about COVID-19. Video presenters included trusted experts in public and mental health and pastors with considerable experience responding to the needs of the African-American community during the COVID-19 pandemic. Four culturally specific core themes to consider when providing care to African Americans who are at increased risk during the pandemic were identified: ritual disruption, negative reactions for not following public health guidelines, trauma, and culture and trust. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: A culturally specific mental health and spirituality approach for African Americans facing the COVID-19 pandemic. Content: A series of 15-min videos were produced to provide resources to pastors in African-American communities to aid them in conveying accurate public and mental health information about COVID-19. Video presenters included trusted experts in public and mental health and pastors with considerable experience responding to the needs of the African-American community during the COVID-19 pandemic. Four culturally specific core themes to consider when providing care to African Americans who are at increased risk during the pandemic were identified: ritual disruption, negative reactions for not following public health guidelines, trauma, and culture and trust. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Title: Social determinants of COVID-19 mortality at the county level Content: The United States is currently the global epicenter of the COVID-19 pandemic. Emerging data suggests that social determinants of health may be key drivers of the epidemic, and that minorities, migrants, and essential workers may bear a disproportionate degree of risk. We used publicly accessible datasets to build a series of spatial autoregressive models assessing county level associations between COVID-19 mortality and (1) Percentage of Non-English speaking households, (2) percentage of individuals engaged in hired farm work, (3) percentage of uninsured individuals under the age of 65, and (3) percentage of individuals living at or below the poverty line. Across all counties (n=2940), counties with more farmworkers, more residents living in poverty, higher density, and more residents over the age of 65 had significantly higher levels of mortality. In urban counties (n=114), only county density was significantly associated with mortality. In non-urban counties (n=2826), counties with more non-English speaking households and more farm workers had significantly higher levels of mortality, as did counties with higher levels of poverty and more residents over the age of 65. More uninsured residents was significantly associated with decreased reported COVID-19 mortality. Individuals who do not speak English, individuals engaged in farm work, and individuals living in poverty may be at heightened risk for COVID-19 mortality in non-urban counties. Mortality among the uninsured may be being systematically undercounted in county and national level surveillance.

Title: Race, Socioeconomic Deprivation, and Hospitalization for COVID-19 in English participants of a National Biobank Content: Preliminary reports suggest that the Coronavirus Disease 2019 (COVID-19) pandemic has led to disproportionate morbidity and mortality among historically disadvantaged populations. The extent to which these disparities are related to socioeconomic versus biologic factors is largely unknown. We investigate the racial and socioeconomic associations of COVID-19 hospitalization among 418,794 participants of the UK Biobank, of whom 549 (0.13%) had been hospitalized. Both black participants (odds ratio 3.4; 95%CI 2.4-4.9) and Asian participants (odds ratio 2.1; 95%CI 1.5-3.2) were at substantially increased risk as compared to white participants. We further observed a striking gradient in COVID-19 hospitalization rates according to the Townsend Deprivation Index - a composite measure of socioeconomic deprivation - and household income. Adjusting for such factors led to only modest attenuation of the increased risk in black participants, adjusted odds ratio 3.1 (95%CI 2.0-4.8). These observations confirm and extend earlier preliminary and lay press reports of higher morbidity in non-white individuals in the context of a large population of participants in a national biobank. The extent to which this increased risk relates to variation in pre-existing comorbidities, differences in testing or hospitalization patterns, or additional disparities in social determinants of health warrants further study.

Title: Racial Disparities in COVID-19 Deaths Reveal Harsh Truths About Structural Inequality in America. Content: The Coronavirus disease 2019 (COVID-19) pandemic has unveiled the stark racial disparities that are present in United States (US) and other developed countries today. In recent weeks, several states have released demographic data that highlights the disproportionate rate of COVID-19 infections in racial/ethnic minorities1 . These disparities are likely a result of the structural inequities that minorities face due to factors such as racism, neighborhood segregation, income, housing and education inequality, and poor access to medical care.

Title: Disparities In Outcomes Among COVID-19 Patients In A Large Health Care System In California Content: As the novel coronavirus disease (COVID-19) pandemic spreads throughout the United States, evidence is mounting that racial and ethnic minorities and socioeconomically disadvantaged groups are bearing a disproportionate burden of illness and death. We conducted a retrospective cohort analysis of COVID-19 patients at Sutter Health, a large integrated health system in northern California, to measure potential disparities. We used Sutter's integrated electronic health record to identify adults with suspected and confirmed COVID-19, and we used multivariable logistic regression to assess risk of hospitalization, adjusting for known risk factors, such as race/ethnicity, sex, age, health, and socioeconomic variables. We analyzed 1,052 confirmed cases of COVID-19 from the period January 1-April 8, 2020. Among our findings, we observed that compared with non-Hispanic white patients, non-Hispanic African American patients had 2.7 times the odds of hospitalization, after adjustment for age, sex, comorbidities, and income. We explore possible explanations for this, including societal factors that either result in barriers to timely access to care or create circumstances in which patients view delaying care as the most sensible option. Our study provides real-world evidence of racial and ethnic disparities in the presentation of COVID-19.

Title: Ethnic Disparities in Hospitalisation for COVID-19 in England: The Role of Socioeconomic Factors, Mental Health, and Inflammatory and Pro-inflammatory Factors in a Community-based Cohort Study Content: BACKGROUND: Differentials in COVID-19 hospitalisations and mortality according to ethnicity have been reported but their origin is uncertain. We examined the role of socioeconomic, mental health, and pro-inflammatory factors in a community-based sample. METHODS: We used data on 340,966 men and women (mean age 56.2 years) from the UK Biobank study, a prospective cohort study with linkage to hospitalisation for COVID-19. Logistic regression models were used to estimate associations between ethnicity and hospitalisation for COVID-19. RESULTS: There were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of COVID-19 infection (odds ratio; 95% confidence interval: 4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the ‘other’ non-white group (1.84; 1.13, 2.99). After controlling for potential explanatory factors which included neighbourhood deprivation, household crowding, smoking, body size, inflammation, glycated haemoglobin, and mental illness, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31). CONCLUSIONS: There were clear ethnic differences in risk of COVID-19 hospitalisation and these do not appear to be fully explained by measured factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.

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: Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients Content: Background: The coronavirus disease (COVID-19) first identified in Wuhan in December 2019 became a pandemic within a few months of its discovery. The impact of COVID-19 is due to both its rapid spread and its severity, but the determinants of severity have not been fully delineated. Objective: Identify factors associated with hospitalization and disease severity in a racially and ethnically diverse cohort of COVID-19 patients. Methods: We analyzed data from COVID-19 patients diagnosed at the University of Cincinnati health system from March 13, 2020 to May 31, 2020. Severe COVID-19 was defined as admission to intensive care unit or death. Logistic regression modeling adjusted for covariates was used to identify the factors associated with hospitalization and severe COVID-19. Results: Among the 689 COVID-19 patients included in our study, 29.2% were non-Hispanic White, 25.5% were non-Hispanic Black, 32.5% were Hispanic, and 12.8% were of other race/ethnicity. About 31.3% of patients were hospitalized and 13.2% had severe disease. In adjusted analyses, the sociodemographic factors associated with hospitalization and/or disease severity included older age, non-Hispanic Black or Hispanic race/ethnicity (compared non-Hispanic White), and smoking. The following comorbidities: diabetes, hypercholesterolemia, asthma, chronic obstructive pulmonary disease (COPD), chronic kidney disease, cardiovascular diseases, osteoarthritis, and vitamin D deficiency, were associated with hospitalization and/or disease severity. Hematological disorders such as anemia, coagulation disorders, and thrombocytopenia were associated with higher odds of both hospitalization and disease severity. Conclusion: This study confirms race and ethnicity as predictors of severe COVID-19 and identifies clinical risk factors not previously reported such a vitamin D deficiency, hypercholesterolemia, osteoarthritis, and anemia.

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: 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: Health and Demographic Impact on COVID-19 Infection and Mortality in US Counties Content: Introduction With the pandemic of COVID-19, the number of confirmed cases and related deaths are increasing in the US. We aimed to understand the potential impact of health and demographic factors on the infection and mortality rates of COVID-19 at the population level. Methods We collected total number of confirmed cases and deaths related to COVID-19 at the county level in the US from January 21, 2020 to April 23, 2020. We extracted health and demographic measures for each US county. Multivariable linear mixed effects models were used to investigate potential correlations of health and demographic characteristics with the infection and mortality rates of COVID-19 in US counties. Results Our models showed that several health and demographic factors were positively correlated with the infection rate of COVID-19, such as low education level and percentage of Black. In contrast, several factors, including percentage of smokers and percentage of food insecure, were negatively correlated with the infection rate of COVID-19. While the number of days since first confirmed case and the infection rate of COVID-19 were negatively correlated with the mortality rate of COVID-19, percentage of elders (65 and above) and percentage of rural were positively correlated with the mortality rate of COVID-19. Conclusions At the population level, health and demographic factors could impact the infection and mortality rates of COVID-19 in US counties.