The Impact of COVID-19 on African American Communities in the United States

被引:0
|
作者
Cyrus, Elena [1 ]
Clarke, Rachel [2 ]
Hadley, Dexter [1 ]
Bursac, Zoran [3 ]
Trepka, Mary Jo [4 ]
Devieux, Jessy G. [5 ]
Bagci, Ulas [6 ]
Furr-Holden, Debra [7 ]
Coudray, Makella [1 ]
Mariano, Yandra [1 ]
Kiplagat, Sandra [4 ]
Noel, Ines [1 ]
Ravelo, Gira [8 ]
Paley, Michelle [9 ]
Wagner, Eric F. [2 ]
机构
[1] Univ Cent Florida, Coll Med, Orlando, FL 32827 USA
[2] Florida Int Univ, Community Based Res Inst, Miami, FL 33199 USA
[3] Florida Int Univ, Robert Stempel Coll Publ Hlth & Social Work, Dept Biostat, Miami, FL 33199 USA
[4] Florida Int Univ, Dept Epidemiol, Robert Stempel Coll Publ Hlth & Social Work, Miami, FL 33199 USA
[5] Florida Int Univ, Robert Stempel Coll Publ Hlth & Social Work, Dept Hlth Promot & Dis Prevent, Miami, FL 33199 USA
[6] Univ Cent Florida, Dept Comp Vis CRCV, Ctr Res, Sci, Orlando, FL 32816 USA
[7] Michigan State Univ, Coll Med, Div Publ Hlth, Flint, MI USA
[8] Florida Int Univ, Robert Stempel Coll Publ Hlth & Social Work, Ctr Res US Latino HIV AIDS & Drug Abuse, Miami, FL 33199 USA
[9] Univ Miami, Miller Sch Med, Dept Psychiat & Behav Sci, Affiliated Fac, Miami, FL 33136 USA
基金
美国国家卫生研究院;
关键词
COVID-19; African American; health disparities; infectious disease; DISPARITIES;
D O I
10.1089/heq.2020.0030
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:476 / 483
页数:8
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