Purpose: The purpose of this ecological study was to understand the impact of the density of African American (AA) communities on coronavirus disease 2019 (COVID-19) prevalence and death rate within the three most populous counties in each U.S. state and territory ( n =152). Methods: An ecological design was employed for the study. 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. 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. Linear regression was used to determine the association between AA 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 AA density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density ( p <0.01). There was also an association between county AA density and COVID-19 deaths; the death rate increased 2 per 100,000 for every percentage increase in county AA density ( p =0.02). Conclusion: These findings indicate that communities with a high AA density have been disproportionately burdened with COVID-19. To help develop effective interventions and programs that address this disparity, further study is needed to understand social determinants of health driving inequities for this community.

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.

No abstract

Latinos are disproportionately impacted by drinking and driving arrests and alcohol-related fatal crashes. Why, and how, these disparities occur remains unclear. The neighborhood environments that recent Latino immigrants encounter in their host communities can potentially influence health behaviors over time, including the propensity to engage in drinking and driving. This cross-sectional study utilizes a sample of 467 documented and undocumented adult recent Latino immigrants in the United States to answer the following research questions: (a) How do neighborhood-level factors, combined with social support, impact drinking and driving risk behaviors?; and (b) Does acculturative stress moderate the effects of those associations? Results indicate neighborhood-level factors (informal social control and social capital) have protective effects against drinking and driving risk behaviors via the mediating mechanism of social support. Acculturative stress moderated associations between neighborhood informal social control and social support, whereby the protective effects of informal social control on social support were not present for those immigrants with higher levels of acculturative stress. Our findings contribute to the limited knowledge of drinking and driving among Latino immigrants early in the immigration process and suggest that, in the process of developing prevention programs tailored to Latino immigrants, greater attention must be paid to neighborhood-level factors.

Latina immigrants in the farmworker community are a vulnerable and understudied population at risk of acquiring HIV. Employing a CBPR framework, this pilot study was the first to evaluate the efficacy of SEPA, a CDC evidenced-based and culturally tailored HIV risk reduction intervention on a cohort of N = 110 predominantly undocumented Latina immigrants in a farmworker community. Findings revealed SEPA was effective in increasing HIV knowledge and decreasing HIV risk behaviors. However, no changes in self-efficacy were found in the present sample. We posit specific socio-cultural and structural barriers specific to the farmworker community not targeted in the original intervention may have hindered the program’s capacity to influence changes in self-efficacy among this less acculturated population. Possible socio-cultural adaptations of the intervention to the target population and policy implications are discussed.

No abstract

No abstract

Objectives A preparedness study was conducted to evaluate the suitability of sites and populations following the same study procedures intended for a larger scale microbicide efficacy trial. In the process the study evaluated human immunodeficiency virus (HIV) incidence, prevalence, and risk profiles for HIV-acquisition among young women in urban Zambia. Methods Women aged 16 to 49 years were screened for participation in the study that involved HIV/sexually transmitted infection testing and the assessment of sexual behavioral characteristics. Two hundred thirty-nine eligible women were enrolled and followed up for 12 months. Results Baseline HIV prevalence at screening was 38.7% (95% CI: 34.2%–43.3%). The highest age-specific prevalence of HIV was 54.1% (95% CI: 46.3%–61.8%) seen in women aged 26 to 34 years. HIV incidence was 2.6% per 100 woman years. Pregnancy rates were high at 17.4 per 100 woman years (95% CI: 12.2–24.1). Conclusion It was concluded that our general population sample, characterized by high HIV prevalence and ongoing incidence rates despite receiving regular risk reduction counseling and free condoms qualifies for future microbicide studies. A microbicide preparedness study conducted in Lusaka, Zambia found high HIV prevalence and appreciable HIV incidence in a population of women in an urban setting.