Identification of county-level health factors associated with COVID-19 mortality in the United States
Wei Pan1
Yasuo Miyazaki2
Hideyo Tsumura2
Emi Miyazaki2
Wei Yang3
1.School of Nursing,Duke University,Durham,NC 27710,USA;Department of Population Health Sciences,School of Medicine,Duke University,Durham,NC 27708,USA2.School of Nursing,Duke University,Durham,NC 27710,USA3.School of Community Health Sciences,University of Nevada,Reno,NV 89557, USA.
摘要：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.
机标关键词：
分类号：R511(传染病)
论文发表日期：2020-11-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：9( 437-445 )
英文信息