National Institutes of Health, National Human Genome Research Institute, Social and Behavioral Research Branch, Social Epidemiology Research Unit.
National Institutes of Health, National Human Genome Research Institute, Social and Behavioral Research Branch, Social Epidemiology Research Unit.
Ann Epidemiol. 2021 Jul;59:33-36. doi: 10.1016/j.annepidem.2021.04.003. Epub 2021 Apr 22.
The COVID-19 pandemic has had a profound impact on American life. However, the burden of the pandemic has not been distributed equally. The purpose of this study was to investigate whether racial and economic residential segregation were associated with COVID-19 related factors in the nation's capital, Washington D.C., during the first year of the pandemic.
Racial, economic, and racialized economic segregation were assessed using the Index of Concentration at the Extremes measure and data from the 2014-2018 American Community Survey. COVID-19 related factors (i.e., incidence, testing rate, and percent positivity) were assessed using data from the Washington D.C. government. Spearman rank correlation was used to assess the relationship between each segregation measure and each COVID-19 related factor.
Washington D.C. neighborhoods with a higher concentration of African Americans, lower income residents, and African Americans with low income had a higher incidence of COVID-19 and greater percent positivity, but lower testing rates compared to their counterparts.
There is a geographic mismatch between neighborhoods most vulnerable to COVID-19 and the neighborhoods where the testing resources are being used. More resources should be allocated to the most vulnerable neighborhoods to address the COVID-19 pandemic in an equitable manner.
COVID-19 大流行对美国人的生活产生了深远的影响。然而,大流行的负担并没有平均分配。本研究的目的是调查在 COVID-19 大流行的第一年,美国首都华盛顿特区的种族和经济居住隔离是否与 COVID-19 相关因素有关。
使用极端集中指数衡量法和 2014-2018 年美国社区调查数据来评估种族、经济和种族化经济隔离程度。使用华盛顿特区政府的数据评估 COVID-19 相关因素(即发病率、检测率和阳性率百分比)。使用 Spearman 秩相关分析评估每个隔离措施与每个 COVID-19 相关因素之间的关系。
与收入较高和非裔美国人收入较高的人群相比,非裔美国人集中、收入较低的华盛顿特区社区的 COVID-19 发病率更高,阳性率百分比更高,但检测率更低。
最容易感染 COVID-19 的社区与正在使用检测资源的社区之间存在地理错位。应该向最脆弱的社区分配更多资源,以公平的方式应对 COVID-19 大流行。