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. 2020 Sep 30;34(6):437-445.
doi: 10.7555/JBR.34.20200129.

Identification of county-level health factors associated with COVID-19 mortality in the United States

Wei Pan  1   2 , Yasuo Miyazaki  3 , Hideyo Tsumura  1 , Emi Miyazaki  1 , Wei Yang  4
Affiliations

Identification of county-level health factors associated with COVID-19 mortality in the United States

Wei Pan et al. J Biomed Res. .

Abstract

Many studies have investigated causes of COVID-19 and explored safety measures for preventing COVID-19 infections. Unfortunately, these studies fell short to address disparities in health status and resources among decentralized communities in the United States. In this study, we utilized an advanced modeling technique to examine complex associations of county-level health factors with COVID-19 mortality for all 3141 counties in the United States. Our results indicated that counties with more uninsured people, more housing problems, more urbanized areas, and longer commute are more likely to have higher COVID-19 mortality. Based on the nationwide population-based data, this study also echoed prior research that used local data, and confirmed that county-level sociodemographic factors, such as more Black, Hispanic, and older subpopulations, are attributed to high risk of COVID-19 mortality. We hope that these findings will help set up priorities on high risk communities and subpopulations in future for fighting the novel virus.

Keywords: COVID-19; health disparity; health factors; hierarchical generalized linear model; mortality.

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Figures

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1
A conceptual model adopted from the county health rankings model[2].
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The distribution of COVID-19 mortality across all 3141 counties in the United States (US).
See this image and copyright information in PMC

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