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解释黑人比例过高的县中新冠病毒疾病(COVID-19)死亡率较高的原因:一项分解分析。

Explaining the higher COVID-19 mortality rates among disproportionately Black counties: A decomposition analysis.

作者信息

Baid Drishti, Yun Boseong, Zang Emma

机构信息

Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.

Department of Sociology, Yale University, New Haven, CT, USA.

出版信息

SSM Popul Health. 2023 Jun;22:101360. doi: 10.1016/j.ssmph.2023.101360. Epub 2023 Feb 9.

Abstract

BACKGROUND

Why is COVID-19 mortality higher in counties with a disproportionately large (>13.4%) share of Black residents (hereafter "Black counties") relative to others ("non-Black counties")? Existing literature points to six categories of determinants: (1) social distancing, (2) COVID-19 testing, (3) socioeconomic characteristics, (4) environmental characteristics, (5) prevalence of (pre-existing) chronic health conditions, and (6) demographic characteristics. The relative importance of these determinants has not yet been thoroughly examined.

METHODS

We built a dataset consisting of 21 sub-indicators across the six categories of determinants for 3108 US counties and their COVID-19 mortality over the period of January 22, 2020-December 31, 2020. Applying the Gelbach's decomposition, we quantified which determinants were most (or least) associated with the COVID-19 mortality disparity between Black and non-Black counties.

RESULTS

We find that COVID-19 death rates were 26 percent higher in Black counties compared to non-Black counties. This disparity was almost completely explained by the six categories of determinants included in our model. Decomposition analyses indicate that county-level demographic and population health characteristics explained most of this disparity. Among all sub-indicators considered, the greater proportion of females and smaller proportion of rural residents in Black counties were the two largest contributors to the COVID-19 mortality gap between Black and non-Black counties. Proportions of diabetic residents, uninsured residents, and the degree of income inequality also significantly contributed to the gap in COVID-19 mortality.

CONCLUSION

The COVID-19 mortality gap between Black and non-Black counties was largely explained by pre-pandemic differences in demographic and population health characteristics. Policies aiming to reduce the prevalence of chronic conditions and uninsured residents in Black counties would have helped narrow the COVID-19 mortality gap between Black and non-Black counties in 2020.

摘要

背景

为何新冠病毒疾病(COVID-19)在黑人居民占比过高(>13.4%)的县(以下简称“黑人县”)的死亡率高于其他县(“非黑人县”)?现有文献指出了六类决定因素:(1)社交距离,(2)COVID-19检测,(3)社会经济特征,(4)环境特征,(5)(既有)慢性健康状况的患病率,以及(6)人口特征。这些决定因素的相对重要性尚未得到充分研究。

方法

我们构建了一个数据集,包含美国3108个县在2020年1月22日至2020年12月31日期间六类决定因素中的21个分项指标及其COVID-19死亡率。应用盖尔巴赫分解法,我们量化了哪些决定因素与黑人县和非黑人县之间的COVID-19死亡率差异关联最大(或最小)。

结果

我们发现,黑人县的COVID-19死亡率比非黑人县高26%。这一差异几乎完全由我们模型中包含的六类决定因素所解释。分解分析表明,县级人口和人口健康特征解释了这一差异的大部分。在所有考虑的分项指标中,黑人县女性比例较高和农村居民比例较低是导致黑人县和非黑人县之间COVID-19死亡率差距的两个最大因素。糖尿病居民比例、未参保居民比例以及收入不平等程度也对COVID-19死亡率差距有显著影响。

结论

黑人县和非黑人县之间的COVID-19死亡率差距在很大程度上是由疫情前人口和人口健康特征的差异所解释的。旨在降低黑人县慢性病患病率和未参保居民比例的政策将有助于缩小2020年黑人县和非黑人县之间的COVID-19死亡率差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afc7/9947412/065c69e86612/gr1.jpg

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