Cyrus Elena, Clarke Rachel, Hadley Dexter, Bursac Zoran, Trepka Mary Jo, Dévieux Jessy G, Bagci Ulas, Furr-Holden Debra, Coudray Makella, Mariano Yandra, Kiplagat Sandra, Noel Ines, Ravelo Gira, Paley Michelle, Wagner Eric F
College of Medicine, University of Central Florida, Orlando, Florida, USA.
Community-Based Research Institute, Florida International University, Miami, Florida, USA.
Health Equity. 2020 Oct 30;4(1):476-483. doi: 10.1089/heq.2020.0030. eCollection 2020.
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 (=152). 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 =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. 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 (<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 (=0.02). 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.
这项生态研究的目的是了解美国各州及领地人口最多的三个县(共152个)中,非裔美国人(AA)社区密度对2019冠状病毒病(COVID-19)患病率和死亡率的影响。本研究采用了生态设计。分析纳入了美国各州及领地人口最多的前三个县,最终样本量为152个县。研究纳入了2020年1月22日至2020年4月12日期间,美国各州及领地人口最多的三个县中累计的确诊COVID-19病例和死亡病例。采用线性回归来确定非裔美国人密度与COVID-19患病率(定义为该县人口中病例的百分比)以及死亡率(定义为每10万人中的死亡人数)之间的关联。模型对年龄中位数和贫困状况进行了调整。非裔美国人密度与COVID-19患病率之间存在直接关联;县非裔美国人密度每增加1%,COVID-19患病率就增加5%(<0.01)。县非裔美国人密度与COVID-19死亡病例之间也存在关联;县非裔美国人密度每增加一个百分点,死亡率每10万人就增加2例(=0.02)。这些发现表明,非裔美国人密度高的社区承受了不成比例的COVID-19负担。为了帮助制定有效的干预措施和项目来解决这种差异,需要进一步研究以了解导致该社区健康不平等的社会健康决定因素。