The Impact of COVID-19 on African American Communities in the United States.
The Impact of COVID-19 on African American Communities in the United States.
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DOI：
10.1089/heq.2020.0030
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发表时间：
2020
期刊：
影响因子：
2.7
通讯作者：
Wagner EF
中科院分区：
文献类型：
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作者：
Cyrus E;Clarke R;Hadley D;Bursac Z;Trepka MJ;Dévieux JG;Bagci U;Furr-Holden D;Coudray M;Mariano Y;Kiplagat S;Noel I;Ravelo G;Paley M;Wagner EF
目的：这项生态研究的目的是了解非洲裔美国人（AA）社区的密度对2019年冠状病毒病（COVID-19）患病率和死亡率的影响，在美国每个州和地区人口最多的三个县（n=152）。方法：采用生态学设计。每个美国州和地区的前三个人口最多的县被纳入分析，最终样本量为n=152个县。包括美国各州和领地三个人口最多的县在2020年1月22日至2020年4月12日期间累积的确诊COVID-19病例和死亡病例。使用线性回归来确定AA密度与COVID-19患病率（定义为县人口的病例百分比）和死亡率（定义为每10万人口的死亡人数）之间的关联。这些模型根据中位年龄和贫困状况进行了调整。结果如下：AA密度与COVID-19患病率之间存在直接关联;县AA密度每增加1%，COVID-19患病率增加5%（p<0.01）。县AA密度与COVID-19死亡之间也存在关联;县AA密度每增加一个百分点，死亡率就增加2/100，000（p=0.02）。结论：这些发现表明，AA密度高的社区受到COVID-19的不成比例的负担。为了帮助制定有效的干预措施和方案，解决这一差距，需要进一步研究，以了解健康驱动不公平的社会决定因素，为这个社区。
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.