Department of Sociology, Vanderbilt University, Nashville, TN, USA.
School of Public Affairs, American University, Washington, DC, USA.
J Racial Ethn Health Disparities. 2023 Dec;10(6):2620-2629. doi: 10.1007/s40615-022-01440-1. Epub 2022 Nov 8.
Prior studies establish that Black neighborhoods and older persons experience higher rates of COVID-19 death than white neighborhoods and younger persons. However, such works point to the effect of age on COVID-19 mortality and the racial and ethnic inequalities present in COVID-19 deaths as independent vectors of inequality, neglecting to consider the multiplicative impact of structural conditions.
Using weekly ZIP code counts of deaths from March 2020 through July 2021 from the Chicago Department of Public Health (n = 4168) and measures of structural characteristics derived from the 5-year estimates of the 2019 American Community Survey, the current study examined how place, racial composition, and the age structure of communities act in tandem to shape the number of deaths due to COVID-19. We used STATA to estimate negative binomial models predictive of COVID-19 mortality.
Findings from our statistical analysis revealed that in predominately Black neighborhoods, racial composition amplified the association of age structure (65 +) on COVID-19 mortality by 40%. Neighborhoods that were not predominately black did not show this multiplicative risk of death. Our findings underscore that the elevated risk of death in in older Black communities is attributed to historic and contemporary structural inequality.
Although society typically frames pandemics as natural disasters, doing such undermines dimensions of marginalization that amplify vulnerability among select populations. To begin eliminating such inequalities, the USA must deal with the entrenched limitations of institutions that render unequal attention and care to sectors of its population.
先前的研究表明,与白人社区和年轻人相比,黑人和老年人聚居区的 COVID-19 死亡率更高。然而,这些研究仅指出了年龄对 COVID-19 死亡率的影响,以及 COVID-19 死亡中存在的种族和族裔不平等,忽视了考虑结构性条件的相乘影响。
本研究使用了从 2020 年 3 月至 2021 年 7 月芝加哥公共卫生部(n=4168)每周的邮政编码死亡人数数据,以及从 2019 年美国社区调查的 5 年估计数中得出的结构性特征衡量指标,考察了社区的位置、种族构成和年龄结构如何协同作用,从而影响 COVID-19 死亡人数。我们使用 STATA 来估计预测 COVID-19 死亡率的负二项式模型。
我们的统计分析结果表明,在以黑人为主要居民的社区中,种族构成使年龄结构(65+)对 COVID-19 死亡率的关联增加了 40%。不是以黑人为主要居民的社区没有显示出这种死亡的相乘风险。我们的研究结果强调,在老年黑人社区中,死亡率升高归因于历史和当代的结构性不平等。
尽管社会通常将大流行病视为自然灾害,但这样做会掩盖使特定人群更易受到伤害的边缘化程度。为了开始消除这些不平等,美国必须应对使机构陷入困境的限制,这些机构对其人口的某些部门给予不平等的关注和照顾。