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

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dc.contributor.authorPan, Weien
dc.contributor.authorMiyazaki, Yasuoen
dc.contributor.authorTsumura, Hideyoen
dc.contributor.authorMiyazaki, Emien
dc.contributor.authorYang, Weien
dc.contributor.departmentSchool of Educationen
dc.coverage.countryUnited Statesen
dc.date.accessioned2021-09-09T12:25:29Zen
dc.date.available2021-09-09T12:25:29Zen
dc.date.issued2020-11-01en
dc.date.updated2021-09-09T12:25:23Zen
dc.description.abstractMany 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.en
dc.description.versionPublished versionen
dc.format.extentPages 437-445en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.7555/JBR.34.20200129en
dc.identifier.eissn2352-4685en
dc.identifier.issn1674-8301en
dc.identifier.issue6en
dc.identifier.orcidMiyazaki, Yasuo [0000-0001-8781-387X]en
dc.identifier.otherPMC7718079en
dc.identifier.pmid33109778en
dc.identifier.urihttp://hdl.handle.net/10919/104954en
dc.identifier.volume34en
dc.language.isoenen
dc.publisherJournal of Biomedical Researchen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/33109778en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectCOVID-19en
dc.subjecthealth disparityen
dc.subjecthealth factorsen
dc.subjecthierarchical generalized linear modelen
dc.subjectmortalityen
dc.subject1004 Medical Biotechnologyen
dc.titleIdentification of county-level health factors associated with COVID-19 mortality in the United Statesen
dc.title.serialJournal of Biomedical Researchen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciencesen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/School of Educationen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/CLAHS T&R Facultyen

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