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

Pan Wei; Miyazaki Yasuo; Tsumura Hideyo; Miyazaki Emi; Yang Wei

doi:10.7555/JBR.34.20200129

Volume 34 Issue 6

Nov. 2020

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The Journal of Biomedical Research > 2020 > 34(6): 437-445. > DOI: 10.7555/JBR.34.20200129

Pan Wei, Miyazaki Yasuo, Tsumura Hideyo, Miyazaki Emi, Yang Wei. Identification of county-level health factors associated with COVID-19 mortality in the United States[J]. The Journal of Biomedical Research, 2020, 34(6): 437-445. DOI: 10.7555/JBR.34.20200129

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

1.
School of Nursing, Duke University, Durham, NC 27710, USA
2.
Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27708, USA
3.
School of Education, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
4.
School of Community Health Sciences, University of Nevada, Reno, NV 89557, USA

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Corresponding author:
Wei Pan, Duke University, DUMC 3322, 307 Trent Dr., Durham, NC 27710, USA. Tel/Fax: +1-919-684-9324/+1-919-684-8899, E-mail: wei.pan@duke.edu
Received Date: July 31, 2020
Revised Date: August 27, 2020
Available Online: September 29, 2020

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Abstract

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.
- COVID-19,
- mortality,
- health factors,
- health disparity,
- hierarchical generalized linear model

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References

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