Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Health Place. 2021 Mar;68:102540. doi: 10.1016/j.healthplace.2021.102540. Epub 2021 Feb 19.
Epidemiological studies have highlighted the disparate impact of coronavirus disease 2019 (COVID-19) on racial and ethnic minority and socioeconomically disadvantaged populations, but data at the neighborhood-level is sparse. The objective of this study was to investigate the disparate impact of COVID-19 on disadvantaged neighborhoods and racial/ethnic minorities in Chicago, Illinois. Using data from the Cook County Medical Examiner, we conducted a neighborhood-level analysis of COVID-19 decedents in Chicago and quantified age-standardized years of potential life lost (YPLL) due to COVID-19 among demographic subgroups and neighborhoods with geospatial clustering of high and low rates of COVID-19 mortality. We show that age-standardized YPLL was markedly higher among the non-Hispanic (NH) Black (559 years per 100,000 population) and the Hispanic (811) compared with NH white decedents (312). We demonstrate that geomapping using residential address data at the individual-level identifies hot-spots of COVID-19 mortality in neighborhoods on the Northeast, West, and South areas of Chicago that reflect a legacy of residential segregation and persistence of inequality in education, income, and access to healthcare. Our results may contribute to ongoing public health and community-engaged efforts to prevent the spread of infection and mitigate the disproportionate loss of life among these communities due to COVID-19 as well as highlight the urgent need to broadly target neighborhood disadvantage as a cause of pervasive racial inequalities in life and health.
流行病学研究强调了 2019 年冠状病毒病(COVID-19)对种族和族裔少数群体以及社会经济弱势群体的不同影响,但在社区层面的数据却很少。本研究的目的是调查 COVID-19 对伊利诺伊州芝加哥市弱势社区和少数族裔的不同影响。我们使用库克县法医的数据,对芝加哥 COVID-19 死亡者进行了社区层面的分析,并量化了因 COVID-19 而导致的不同人口统计亚组和具有 COVID-19 死亡率高和低地理空间聚类的社区中潜在生命损失年数(YPLL)的年龄标准化值。结果表明,非西班牙裔黑人(NH 黑人)(每 10 万人中有 559 年)和西班牙裔(811 年)的年龄标准化 YPLL 明显高于 NH 白人死者(312 年)。我们证明,使用个人层面的居住地址数据进行地理映射可以确定芝加哥东北部、西部和南部社区 COVID-19 死亡率的热点地区,这些热点地区反映了居住隔离的历史和教育、收入以及获得医疗保健方面的不平等持续存在。我们的研究结果可能有助于正在进行的公共卫生和社区参与努力,以防止感染的传播,并减轻这些社区因 COVID-19 而导致的不成比例的生命损失,同时也突显了将社区劣势作为造成生命和健康方面普遍存在种族不平等的原因进行广泛关注的迫切需要。