Cargando…

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

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 advance...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Wei, Miyazaki, Yasuo, Tsumura, Hideyo, Miyazaki, Emi, Yang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Department of Journal of Biomedical Research 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718079/
https://www.ncbi.nlm.nih.gov/pubmed/33109778
http://dx.doi.org/10.7555/JBR.34.20200129
_version_ 1783619437885128704
author Pan, Wei
Miyazaki, Yasuo
Tsumura, Hideyo
Miyazaki, Emi
Yang, Wei
author_facet Pan, Wei
Miyazaki, Yasuo
Tsumura, Hideyo
Miyazaki, Emi
Yang, Wei
author_sort Pan, Wei
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7718079
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Editorial Department of Journal of Biomedical Research
record_format MEDLINE/PubMed
spelling pubmed-77180792020-12-30 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 J Biomed Res Original Article 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. Editorial Department of Journal of Biomedical Research 2020-11 2020-09-30 /pmc/articles/PMC7718079/ /pubmed/33109778 http://dx.doi.org/10.7555/JBR.34.20200129 Text en Copyright and License information: Journal of Biomedical Research, CAS Springer-Verlag Berlin Heidelberg 2020 http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
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
title Identification of county-level health factors associated with COVID-19 mortality in the United States
title_full Identification of county-level health factors associated with COVID-19 mortality in the United States
title_fullStr Identification of county-level health factors associated with COVID-19 mortality in the United States
title_full_unstemmed Identification of county-level health factors associated with COVID-19 mortality in the United States
title_short Identification of county-level health factors associated with COVID-19 mortality in the United States
title_sort identification of county-level health factors associated with covid-19 mortality in the united states
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718079/
https://www.ncbi.nlm.nih.gov/pubmed/33109778
http://dx.doi.org/10.7555/JBR.34.20200129
work_keys_str_mv AT panwei identificationofcountylevelhealthfactorsassociatedwithcovid19mortalityintheunitedstates
AT miyazakiyasuo identificationofcountylevelhealthfactorsassociatedwithcovid19mortalityintheunitedstates
AT tsumurahideyo identificationofcountylevelhealthfactorsassociatedwithcovid19mortalityintheunitedstates
AT miyazakiemi identificationofcountylevelhealthfactorsassociatedwithcovid19mortalityintheunitedstates
AT yangwei identificationofcountylevelhealthfactorsassociatedwithcovid19mortalityintheunitedstates