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Association of race, ethnicity, and community-level factors with COVID-19 cases and deaths across U.S. counties.
- Source :
-
Healthcare (Amsterdam, Netherlands) [Healthc (Amst)] 2021 Mar; Vol. 9 (1), pp. 100495. Date of Electronic Publication: 2020 Nov 21. - Publication Year :
- 2021
-
Abstract
- The United States currently has one of the highest numbers of cumulative COVID-19 cases globally, and Latino and Black communities have been disproportionately affected. Understanding the community-level factors that contribute to disparities in COVID-19 case and death rates is critical to developing public health and policy strategies. We performed a cross-sectional analysis of U.S. counties and found that a 10% point increase in the Black population was associated with 324.7 additional COVID-19 cases per 100,000 population and 14.5 additional COVID-19 deaths per 100,000. In addition, we found that a 10% point increase in the Latino population was associated with 293.5 additional COVID-19 cases per 100,000 and 7.6 additional COVID-19 deaths per 100,000. Independent predictors of higher COVID-19 case rates included average household size, the share of individuals with less than a high school diploma, and the percentage of foreign-born non-citizens. In addition, average household size, the share of individuals with less than a high school diploma, and the proportion of workers that commute using public transportation independently predicted higher COVID-19 death rates within a community. After adjustment for these variables, the association between the Latino population and COVID-19 cases and deaths was attenuated while the association between the Black population and COVID-19 cases and deaths largely persisted. Policy efforts must seek to address the drivers identified in this study in order to mitigate disparities in COVID-19 cases and deaths across minority communities.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- COVID-19 epidemiology
COVID-19 mortality
Community Participation statistics & numerical data
Cross-Sectional Studies
Humans
Mortality trends
Racial Groups ethnology
United States epidemiology
United States ethnology
COVID-19 diagnosis
Community Participation methods
Mortality ethnology
Racial Groups statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 2213-0772
- Volume :
- 9
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Healthcare (Amsterdam, Netherlands)
- Publication Type :
- Academic Journal
- Accession number :
- 33285500
- Full Text :
- https://doi.org/10.1016/j.hjdsi.2020.100495