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

The Disproportionate Impact of COVID-19 on Racial and Ethnic Minorities in the United States.

COVID-19 and African Americans

Ethnicity and covid-19

The Disproportionate Impact of COVID-19 on Racial and Ethnic Minorities in the United States

Ethnicity and covid-19.

COVID-19 and African Americans.

COVID-19 Is Disproportionately High in African Americans. This Will Come as No Surprise

Disproportionate COVID-19 Related Mortality Amongst African Americans in Four Southern States in the United States

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

Distinguishing between direct and indirect consequences of covid-19.

The impact of COVID-19

Evidence mounts on the disproportionate effect of COVID-19 on ethnic minorities

Disproportionate incidence of COVID-19 in African Americans correlates with dynamic segregation

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.

Distinguishing between direct and indirect consequences of covid-19

The impact of COVID-19.

Besides population age structure, health and other demographic factors can contribute to understanding the COVID-19 burden

Multivariate Analysis of Black Race and Environmental Temperature on COVID-19 In the US

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.

Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago.

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.

Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago

Increased cardiovascular mortality in African Americans with COVID-19

COVID-19 is Out of Proportion in African Americans. This Will Come as No Surprise…

Why African Americans Are a Potential Target for COVID-19 Infection in the United States

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.

Household COVID-19 Prevalence

Determinants of COVID-19 Vaccine Acceptance in the U.S.

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

The neurological impact of COVID-19

The impact of COVID-19 on African American communities in the United States

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.

COVID-19 and Racial Disparities

COVID-19 and racial disparities

Covid-19 cases increase steeply in US south and west

The Impact of COVID-19 on HIV Treatment and Research: A Call to Action

The impact of the COVID-19 pandemic is far reaching, with devastating effects on individuals, communities, and societies across the world. People with chronic health conditions may be at greater risk of contracting or experiencing complications from COVID-19. In addition to illness or death for those who contract the virus, the physical distancing required to flatten the curve of new cases is having a negative impact on the economy, the effects of which intersect with mental health and other existing health concerns, thus affecting marginalized communities. Given that HIV also has a disproportionate impact on marginalized communities, COVID-19 is affecting people with HIV (PWH) in unique ways and will continue to have an impact on HIV research and treatment after the COVID-19 crisis passes. Using the biopsychosocial framework to contextualize the impact of COVID-19 on PWH, the purpose of this review article is to: (1) outline the similarities and differences between the COVID-19 and HIV pandemics; (2) describe the current and future impact of COVID-19 on PWH; and (3) outline a call to action for scientists and practitioners to respond to the impact of COVID-19 on HIV prevention and treatment.

Multivariate Analysis of Factors Affecting COVID-19 Case and Death Rate in U.S. Counties: The Significant Effects of Black Race and Temperature

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.

Ethnics and economics in COVID-19: Meta-regression of data from countries in the New York metropolitan area

Ethnics and economics may affect prevalence and case fatality of Coronavirus disease 2019 (COVID-19). To determine whether COVID-19 prevalence and fatality are modulated by ethnics and economics, meta-regression of data from the countries in the New York metropolitan area were herein conducted. We selected 31 countries in the New York metropolitan area. 1) Prevalence and case-fatality rates of confirmed COVID-19 cases on May 20, 2020 and 2) income and poverty estimates were obtained in each country. We performed random-effects meta-regression using OpenMetaAnalys. The covariates included 1) black (%), 2) Hispanic or Latino (%), 3) poverty rates (%), and 4) median household income ($). Statistically significant (P < .05) covariates in the univariable model were together entered into the multivariable model. A slope (coefficient) of the univariable meta-regression line for COVID-19 prevalence was not significant for household income (P = .639), whereas the coefficient was significantly positive for black (coefficient, 0.021; P = .015), Hispanic/Latino (0.033; P < .001), and poverty (0.039; P = .02), which indicated that COVID-19 prevalence increased significantly as black, Hispanic/Latino, and poverty increased. The multivariable model revealed that the slope was significantly positive for only Hispanic/Latino (P < .001). The coefficient in the univariable model for COVID-19 fatality, however, was not significant for all the covariate. In conclusion, black, Hispanic/Latino, and poverty (not household income), especially Hispanic/Latino independently, may be associated with COVID-19 prevalence. There may be no association of black, Hispanic/Latino, poverty, and household income with COVID-19 fatality.

Disparities in COVID-19 Reported Incidence, Knowledge, and Behavior

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.

Medical personnel, COVID-19 and emotional impact

Covid-19 cases increase steeply in US south and west.

Being African American and Rural: A Double Jeopardy From COVID-19

The psychophysical impact that COVID-19 has on children must not be underestimated

Covid-19: Black people and other minorities are hardest hit in US

COVID-19 and Racial/Ethnic Disparities

Covid-19: Black people and other minorities are hardest hit in US.

The positive effects of covid-19.

Audio Interview: The Impact of Covid-19 on Minority Communities.

Impact of COVID-19 on 2020 US life expectancy for the Black and Latino populations

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.

Unequal Distribution of COVID-19 Risk Among Rural Residents by Race and Ethnicity

The Impact of Covid-19 on Mental Health: the Interactive Roles of Brain Biotypes and Human Connection

COVID-19 along with the mitigation strategies being used to address the virus pose significant threats to our individual and collective mental health. As the crisis evolves and persists, it will be increasingly important for the research community to conduct investigations that address the mental health consequences of COVID-19. The causes of mental health effects in the context of COVID-19 are multifactorial and likely include biological, behavioral, and environmental determinants. We argue that the COVID-19 crisis significantly threatens our basic human need for human connection, which might serve as a crucial environmental factor that could underlie the overall insult to our mental health. Furthermore, "brain styles," which we have previously conceptualized as "biotypes" that are informed by a neural taxonomy, might interact with the universal threat to our need for human connection to explain the mental health consequences of COVID-19 from a precision psychiatry perspective. The goal of this commentary is to inspire research on the mental health consequences of COVID-19 from an individualized, brain-based perspective that honors the profound threat that the virus poses to our basic human motivations.

COVID-19 exacerbating inequalities in the US

The Disproportionate Impact of COVID-19 on Minority Groups: A Social Justice Concern.

Fear of COVID-19 and the mental health consequences in America

The intent of this work was to examine the intersection of COVID-19 fear with social vulnerabilities and mental health consequences among adults living in the United States. Data are from a nationally representative sample (n = 10,368) of U.S. adults surveyed online during demographic subgroups (gender, age, income, race and ethnicity, geography). The sample week of March 23, 2020. The sample was poststratification weighted to ensure a balanced representation across social and demographic subgroups (gender, age, income, race or ethnicity, geography). The sample comprised 51% female; 23% non-White; 18% Hispanic; 25% of households with children under 18 years of age; 55% unmarried; and nearly 20% unemployed, laid off, or furloughed at the time of the interview. Respondents were fearful, averaging a score of nearly 7 on a scale of 10 when asked how fearful they were of COVID-19. Preliminary analysis suggests clear spatial diffusion of COVID-19 fear. Fear appears to be concentrated in regions with the highest reported COVID-19 cases. Significant differences across several U.S. census regions are noted (p < .01). Additionally, significant bivariate relationships were found between socially vulnerable respondents (female, Asians, Hispanic, foreign-born, families with children) and fear, as well as with mental health consequences (anxiety and depressive symptoms). Depressive symptoms, on average, were high (16+ on the Center for Epidemiologic Studies Depression scale), and more than 25% of the sample reported moderate to severe anxiety symptoms. More in-depth psychosocial research is needed using nationally representative samples that can help to inform potential mental health risks, as well as by targeting specific mental health interventions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The coronavirus disease 2019 (COVID-19) pandemic has led to a large increase in mortality in the United States and around the world, leaving many grieving the sudden loss of family members. We created an indicator-the COVID-19 bereavement multiplier-that estimates the average number of individuals who will experience the death of a close relative (defined as a grandparent, parent, sibling, spouse, or child) for each COVID-19 death. Using demographic microsimulation-based estimates of kinship networks in the United States, the clear age gradient in COVID-19 mortality seen across contexts, and several hypothetical infection prevalence scenarios, we estimate COVID-19 bereavement multipliers for White and Black individuals in the United States. Our analysis shows that for every COVID-19 death, approximately nine surviving Americans will lose a grandparent, parent, sibling, spouse, or child. These estimates imply, for example, that if 190,000 Americans die from COVID-19, as some models project, then â¼1.7 million will experience the death of a close relative. We demonstrate that our estimates of the bereavement multiplier are stable across epidemiological realities, including infection scenarios, total number of deaths, and the distribution of deaths, which means researchers can estimate the bereavement burden over the course of the epidemic in lockstep with rising death tolls. In addition, we provide estimates of bereavement multipliers by age group, types of kin loss, and race to illuminate prospective disparities. The bereavement multiplier is a useful indicator for tracking COVID-19's multiplicative impact as it reverberates across American families and can be tailored to other causes of death.

Caution when linking COVID-19 to mental health consequences

Commercial influence and covid-19

Sharpening the global focus on ethnicity and race in the time of COVID-19

Why inequality could spread COVID-19

Fear of COVID-19 and the mental health consequences in America.

The Disproportionate Impact of COVID-19 on Minority Groups: A Social Justice Concern

Religious discrimination is hindering the covid-19 response.

Blacks/African Americans are 5 Times More Likely to Develop COVID-19: Spatial Modeling of New York City ZIP Code-level Testing Results

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

Religious discrimination is hindering the covid-19 response

Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States.

The coronavirus disease 2019 (COVID-19) pandemic has led to a large increase in mortality in the United States and around the world, leaving many grieving the sudden loss of family members. We created an indicator-the COVID-19 bereavement multiplier-that estimates the average number of individuals who will experience the death of a close relative (defined as a grandparent, parent, sibling, spouse, or child) for each COVID-19 death. Using demographic microsimulation-based estimates of kinship networks in the United States, the clear age gradient in COVID-19 mortality seen across contexts, and several hypothetical infection prevalence scenarios, we estimate COVID-19 bereavement multipliers for White and Black individuals in the United States. Our analysis shows that for every COVID-19 death, approximately nine surviving Americans will lose a grandparent, parent, sibling, spouse, or child. These estimates imply, for example, that if 190,000 Americans die from COVID-19, as some models project, then ∼1.7 million will experience the death of a close relative. We demonstrate that our estimates of the bereavement multiplier are stable across epidemiological realities, including infection scenarios, total number of deaths, and the distribution of deaths, which means researchers can estimate the bereavement burden over the course of the epidemic in lockstep with rising death tolls. In addition, we provide estimates of bereavement multipliers by age group, types of kin loss, and race to illuminate prospective disparities. The bereavement multiplier is a useful indicator for tracking COVID-19's multiplicative impact as it reverberates across American families and can be tailored to other causes of death.

Commercial influence and covid-19.

Africa faces difficult choices in responding to COVID-19

COVID-19 Deaths: Which Explanatory Variables Matter the Most?

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

Perceived vulnerability to COVID-19 infection from event attendance: Results from Louisiana, USA, two weeks preceding the national emergency declaration

In response to the mounting threat of COVID-19, we added questions to an ongoing food preference study held at Louisiana State University from March 3-12 of 2020. We asked 356 participants: (1) In your opinion, how likely is it that the spread of COVID-19 (the coronavirus) will cause a public health crisis in the United States? (2) How concerned are you that you will contract COVID-19 by attending events on campus? Participants' estimates of an impending national health crisis increased significantly during the study's second week (March 9-12) while concern about personally contracting COVID-19 from attending campus events increased only marginally during the study's final days. We find those expressing a higher likelihood of an impending national crisis were more concerned about contracting COVID-19 by attending campus events, suggesting a possible transmission from perceptions of national-level events to perceived personal vulnerability via local exposure. However, about 30% of participants perceived that COVID-19 would likely cause a public health crisis yet did not express concern about contracting COVID-19 from event attendance. These participants were significantly more likely to be younger students who agreed to participate in response to recruitment using same-day flyer distribution. Women expressed a higher likelihood of an emerging national health crisis, although they were not more concerned than men that attending campus events would result in virus contraction. Other groups (e.g., white, students younger than 25, highest income group) displayed similar concern about a national-level crisis, yet were significantly less concerned about contracting COVID-19 from attending campus events than others. Also, participants randomly assigned to information emphasizing the national impacts of food waste expressed significantly greater concern of contracting COVID-19 by attending campus events. These results provide some initial insight about how people perceived national and personal risks in the early stages of the COVID-19 crisis in Louisiana.

Differences in clinical characteristics of COVID-19 in Hispanic/Latino population

Racial segregation, testing sites access, and COVID-19 incidence rate in Massachusetts, USA

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.

COVID-19 and Racial/Ethnic Disparities.

Is ethnicity linked to incidence or outcomes of covid-19?

THE IMPACT OF COVID-19 ON MENTAL HEALTH: THE INTERACTIVE ROLES OF BRAIN BIOTYPES AND HUMAN CONNECTION

Abstract COVID-19 along with the mitigation strategies being used to address the virus pose significant threats to our individual and collective mental health. As the crisis evolves and persists, it will be increasingly important for the research community to conduct investigations that address the mental health consequences of COVID-19. The causes of mental health effects in the context of COVID-19 are multifactorial and likely include biological, behavioral, and environmental determinants. We argue that the COVID-19 crisis significantly threatens our basic human need for human connection, which might serve as a crucial environmental factor that could underlie the overall insult to our mental health. Furthermore, “brain styles,” which we have previously conceptualized as “biotypes” that are informed by a neural taxonomy, might interact with the universal threat to our need for human connection to explain the mental health consequences of COVID-19 from a precision psychiatry perspective. The goal of this commentary is to inspire research on the mental health consequences of COVID-19 from an individualized, brain-based perspective that honors the profound threat that the virus poses to our basic human motivations.

Audio Interview: The Impact of Covid-19 on Minority Communities

African American children are at higher risk of COVID-19 infection

COVID-19 and finance: Agendas for future research

Abstract This paper highlights the enormous economic and social impact of COVID-19 with respect to articles that have either prognosticated such a large-scale event, and its economic consequences, or have assessed the impacts of other epidemics and pandemics. A consideration of possible impacts of COVID-19 on financial markets and institutions, either directly or indirectly, is briefly outlined by drawing on a variety of literatures. A consideration of the characteristics of COVID-19, along with what research suggests have been the impacts of other past events that in some ways roughly parallel COVID-19, points toward avenues of future investigation.

Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis

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.

At the Heart of the Matter: Unmasking and Addressing COVID-19's Toll on Diverse Populations.

At the Heart of the Matter: Unmasking and Addressing COVID-19's Toll on Diverse Populations

COVID-19's Crushing Effects on Medical Practices, Some of Which Might Not Survive

Willingness to Accept Tradeoffs among Covid-19 Cases, Social-Distancing Restrictions, and Economic Impact: A Nationwide US Study

We designed a discrete-choice experiment to quantify the extent to which US adults would accept greater risk of infection with SARS-CoV-2 in return for lifting social-distancing restrictions and diminishing the economic impact of the COVID-19 pandemic. 5953 adults representing all 50 states had 4 distinctly different preference patterns. About 37% were risk minimizers reluctant to accept any increases in risk of contracting the virus. Another group (26%) was primarily concerned about time required for economic recovery, accepting increases in COVID-19 risk levels up to 16% to shorten recovery from 3 to 2 years. The remaining two groups diverged on the relative importance of reopening nonessential businesses. The larger group (26%) strongly preferred delaying reopening while the smaller group (13%) would accept COVID-19 risks well beyond 20% to avoid a delay in reopening. Political affiliation, race, household income and employment status were predictive of group membership.

Intersecting Pandemics: Impact of SARS-CoV-2 (COVID-19) Protective Behaviors on People Living with HIV, Atlanta, Georgia.

BACKGROUND COVID-19 and its social responses threaten the health of people living with HIV. We conducted a rapid-response interview to assess COVID-19 protective behaviors of people living with HIV and the impact of their responses on HIV related healthcare. METHOD Men and women living with HIV (N = 162) ages 20 to 37 participating in a longitudinal study of HIV treatment and care completed routine study measures and an assessment of COVID-19-related experiences. RESULTS At baseline, a majority of participants demonstrated HIV viremia, markers indicative of renal disorders, and biologically confirmed substance use. At follow-up, in the first month of responding to COVID-19, engaging in more social distancing behaviors was related to difficulty accessing food and medications, and increased cancelation of healthcare appointments, both by self and providers. We observed ART adherence had improved during the initial month of COVID-19 response. CONCLUSIONS Factors that may pose added risk for COVID-19 severity were prevalent among people living with HIV and those with greater risk factors did not practice more COVID-19 protective behaviors. Social distancing and other practices intended to mitigate the spread of COVID-19 interfered with HIV care, and impeded access to food and medications, although an immediate adverse impact on medication adherence was not evident. These results suggest social responses to COVID-19 adversely impacted the healthcare of people living with HIV, supporting continued monitoring to determine the long-term effects of co-occurring HIV and COVID-19 pandemics.

COVID-19's Crushing Effects on Medical Practices, Some of Which Might Not Survive.

Personal Risk and Societal Obligation Amidst COVID-19

Differences in race and other state-level characteristics and associations with mortality from COVID-19 infection

Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study

Objectives: United States government scientists estimate that COVID-19 may kill tens of thousands of Americans. Many of the pre-existing conditions that increase the risk of death in those with COVID-19 are the same diseases that are affected by long-term exposure to air pollution. We investigated whether long-term average exposure to fine particulate matter (PM2.5) is associated with an increased risk of COVID-19 death in the United States. Design: A nationwide, cross-sectional study using county-level data. Data sources: COVID-19 death counts were collected for more than 3,000 counties in the United States (representing 98% of the population) up to April 22, 2020 from Johns Hopkins University, Center for Systems Science and Engineering Coronavirus Resource Center. Main outcome measures: We fit negative binomial mixed models using county-level COVID-19 deaths as the outcome and county-level long-term average of PM2.5 as the exposure. In the main analysis, we adjusted by 20 potential confounding factors including population size, age distribution, population density, time since the beginning of the outbreak, time since state issuance of the stay-at-home order, hospital beds, number of individuals tested, weather, and socioeconomic and behavioral variables such as obesity and smoking. We included a random intercept by state to account for potential correlation in counties within the same state. We conducted more than 68 additional sensitivity analyses. Results: We found that an increase of only 1 μg/m3 in PM2.5 is associated with an 8% increase in the COVID-19 death rate (95% confidence interval [CI]: 2%, 15%). The results were statistically significant and robust to secondary and sensitivity analyses. Conclusions: A small increase in long-term exposure to PM2.5 leads to a large increase in the COVID-19 death rate. Despite the inherent limitations of the ecological study design, our results underscore the importance of continuing to enforce existing air pollution regulations to protect human health both during and after the COVID-19 crisis. The data and code are publicly available so our analyses can be updated routinely.

Additional hypotheses about why COVID-19 is milder in children than adults

Initial Observations of COVID-19 in US Children

The positive effects of covid-19

Impact of covid-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak

Covid-19 is a phenomenon of enormous magnitude and relevance. Its impact has affected various social domains, including the media and journalism. Since the beginning of this health crisis, the news has become a valuable resource for citizens. Studying the dynamics of information consumption is highly relevant both for its ability to transform the media system and for its incidence in democracy. The objective of this research is to analyse the influence of the new coro-navirus on news consumption, the credibility given by citizens to the media as well as their ability to detect fake news. To answer these questions, we have conducted an exploratory analysis based on the secondary data from the online surveys of the Pew Research Center’s American Trends Panel in the United States, comparing data before and after the outbreak. The results confirm the impact of Covid-19 on the media system. The findings suggest the emergence of im-portant developments such as the resurgence of the role of legacy media, especially television, and the fact that citizens who usually remain far from the information have reconnected with the news. Therefore, the existing inequalities regar-ding news consumption among citizens have been reduced, in part. This generates potential benefits for democracy in terms of equality and accessibility concerning public affairs.

Economic, Mental Health, HIV Prevention and HIV Treatment Impacts of COVID-19 and the COVID-19 Response on a Global Sample of Cisgender Gay Men and Other Men Who Have Sex with Men

There is an urgent need to measure the impacts of COVID-19 among gay men and other men who have sex with men (MSM). We conducted a cross-sectional survey with a global sample of gay men and other MSM (n = 2732) from April 16, 2020 to May 4, 2020, through a social networking app. We characterized the economic, mental health, HIV prevention and HIV treatment impacts of COVID-19 and the COVID-19 response, and examined whether sub-groups of our study population are disproportionately impacted by COVID-19. Many gay men and other MSM not only reported economic and mental health consequences, but also interruptions to HIV prevention and testing, and HIV care and treatment services. These consequences were significantly greater among people living with HIV, racial/ethnic minorities, immigrants, sex workers, and socio-economically disadvantaged groups. These findings highlight the urgent need to mitigate the negative impacts of COVID-19 among gay men and other MSM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10461-020-02969-0) contains supplementary material, which is available to authorized users.

Emociones, preocupaciones y reflexiones frente a la pandemia del COVID-19 en Argentina./ [Emotions, concerns and reflections regarding the COVID-19 pandemic in Argentina]

The scope of this work is to explore the feelings and expectations that COVID-19 has generated in Argentina during the first stage of the pandemic. A survey of the World Health Organization adapted to the local context was applied. Open-ended questions were included to study people's feelings about COVID-19, and content analysis was subsequently conducted. In terms of results, it is revealed that the population surveyed feels uncertainty, fear and anguish, albeit a feeling of responsibility and care in the face of COVID-19 also emerges. Moreover, positive feelings regarding society stand out as an achievement of social interdependence. The results obtained show that the impact on mental health differs in accordance with gender, educational level, and perceived comfort in the home. The study concludes that the emotional and bonding dimensions of people are central to confronting the COVID-19 pandemic in Argentina. It is recommended that these dimensions, as well as their subjective and differential social impact among the different population groups, should be considered in the planning of policies to address the COVID-19 pandemic.

COVID-19 Worries and Behavior Changes in Older and Younger Men and Women

OBJECTIVES: The case fatality rate of COVID-19 is higher amongst older adults than younger adults and is also higher amongst men than women. However, worry, which is a key motivator of behavioral health changes, occurs less frequently for older than younger adults, and less frequently for men than women. Building on this, we tested whether older adults - and particularly older men -- would report the least amount of COVID-19 worry and also fewer COVID-19 behavior changes. METHODS: From March 23-31, 2020, we administered an online questionnaire assessing COVID-19 perceptions, worries, and behavior changes. Participants were a convenience sample of United States residents, who were community-dwelling younger adults (18-35) or older adults (65 to 81). Analyses included 146 younger adults (68 men, 78 women) and 156 older adults (82 men, 74 women). Participants was predominately White, living in suburban/urban areas, and had completed some college. RESULTS: During the early phase of the outbreak in the United States, older adults perceived the risks of COVID-19 to be higher than did younger adults. Despite this, older men were comparatively less worried about COVID-19 than their younger counterparts. Compared to the other participants, older men had also implemented the fewest behavior changes. DISCUSSION: Interventions are needed to increase COVID-19 behavior changes in older men. These results also highlight the importance of understanding emotional-responses to COVID-19, as these are predictive of their behavioral responses.

Racial Capitalism: A Fundamental Cause of Novel Coronavirus (COVID-19) Pandemic Inequities in the United States

Racial capitalism is a fundamental cause of the racial and socioeconomic inequities within the novel coronavirus pandemic (COVID-19) in the United States. The overrepresentation of Black death reported in Detroit, Michigan is a case study for this argument. Racism and capitalism mutually construct harmful social conditions that fundamentally shape COVID-19 disease inequities because they (a) shape multiple diseases that interact with COVID-19 to influence poor health outcomes; (b) affect disease outcomes through increasing multiple risk factors for poor, people of color, including racial residential segregation, homelessness, and medical bias; (c) shape access to flexible resources, such as medical knowledge and freedom, which can be used to minimize both risks and the consequences of disease; and (d) replicate historical patterns of inequities within pandemics, despite newer intervening mechanisms thought to ameliorate health consequences. Interventions should address social inequality to achieve health equity across pandemics.

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.

Comparisons between countries are essential for the control of COVID-19

Covid-19 and the rise of racism

BACKGROUND: COVID-19 and its social responses threaten the health of people living with HIV. We conducted a rapid-response interview to assess COVID-19 protective behaviors of people living with HIV and the impact of their responses on HIV related healthcare. METHOD: Men and women living with HIV (N = 162) ages 20 to 37 participating in a longitudinal study of HIV treatment and care completed routine study measures and an assessment of COVID-19-related experiences. RESULTS: At baseline, a majority of participants demonstrated HIV viremia, markers indicative of renal disorders, and biologically confirmed substance use. At follow-up, in the first month of responding to COVID-19, engaging in more social distancing behaviors was related to difficulty accessing food and medications, and increased cancelation of healthcare appointments, both by self and providers. We observed ART adherence had improved during the initial month of COVID-19 response. CONCLUSIONS: Factors that may pose added risk for COVID-19 severity were prevalent among people living with HIV and those with greater risk factors did not practice more COVID-19 protective behaviors. Social distancing and other practices intended to mitigate the spread of COVID-19 interfered with HIV care, and impeded access to food and medications, although an immediate adverse impact on medication adherence was not evident. These results suggest social responses to COVID-19 adversely impacted the healthcare of people living with HIV, supporting continued monitoring to determine the long-term effects of co-occurring HIV and COVID-19 pandemics.

The impact of the COVID-19 pandemic on marginalized populations in the United States: A research agenda

International and national crises often highlight inequalities in the labor market that disproportionately affect individuals from marginalized backgrounds. The COVID-19 pandemic, and the resulting changes in society due to social distancing measures, has showcased inequities in access to decent work and experiences of discrimination resulting in many of the vulnerable populations in the United States experiencing a much harsher impact on economic and work-related factors. The purpose of this essay is to describe how the COVID-19 pandemic may differentially affect workers of color, individuals from low-income backgrounds, and women in complex ways. First, this essay will discuss disproportionate representation of workers from low-income and racial/ethnic minority backgrounds in sectors most affected by COVID-19. Second, it will discuss the lack of decent work for low-income workers who perform "essential" tasks. Third, this essay will highlight economic and work-related implications of increased discrimination Asian Americans are experiencing in society. Finally, role conflict and stress for women who are managing additional unpaid work, including caretaking responsibilities, while needing to continue to engage in paid work will be examined. A research agenda will be set forth throughout the essay, calling for vocational psychologists to engage in research that fully examines how the COVID-19 pandemic is affecting vulnerable communities.

Assessing Differential Impacts of COVID-19 on Black Communities

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.

Higher Obesity Trends Among African Americans Are Associated with Increased Mortality in Infected COVID-19 Patients Within the City of Detroit

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.

COVID 19

Covid-19 Outbreak In Italy: Are We Ready for the Psychosocial and the Economic Crisis? Baseline Findings From the PsyCovid Study

The Covid-19 pandemic is burning all over the world. National healthcare systems are facing the contagion with incredible strength, but concern regarding the psychosocial and economic effects is growing quickly. The PsyCovid Study assessed the influence of psychosocial variables on individual differences from the perceived impact of the Covid-19 outbreak on the issues of health and economy in the Italian population. Italian volunteers from different regions completed an online anonymous survey. The main outcomes were the perceived impact of the Covid-19 outbreak on health and the economy. A two-way MANOVA evaluated differences in the main outcomes, with geographical area (northern, central, and southern regions) and professional status (healthcare workers or not) as factors. We then tested the relationship linking psychosocial variables (i.e. perceived distress and social isolation, empathy, and coping style) to the main outcomes through two different mediation models. 1163 responders completed the survey (835 females; mean age: 42 ± 13.5 y.o.; age range: 18-81 y.o.) between March 14 and 21, 2020. Healthcare workers and people living in northern Italy reported a significantly worse outbreak impact on health, but not on the economy. In the whole sample, distress and loneliness were key variables influencing the perceived impact of the Covid-19 outbreak on health, while empathy and coping style affected the perceived impact on the economy. The Covid-19 pandemic is a worldwide emergency in terms of psychological, social, and economic consequences. Our data suggests that in the Italian population, actual differences in individual perception of the Covid-19 outbreak severity for health are dramatically modulated by psychosocial frailty (i.e., distress and loneliness). At the same time, problem-oriented coping strategies and enhanced empathic abilities increase people's awareness of the severity of the impact of the Covid-19 emergency on economics. There is an immediate need for consensus guidelines and healthcare policies to support interventions aimed to manage psychosocial distress and increase population resilience towards the imminent crisis.

Assessing the severity of COVID-19.