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Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variabl...

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Autores principales: Millar, Jess A., Dao, Hanh Dung N., Stefopulos, Marianne E., Estevam, Camila G., Fagan-Garcia, Katharine, Taft, Diana H., Park, Christopher, Alruwaily, Amaal, Desai, Angel N., Majumder, Maimuna S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516194/
https://www.ncbi.nlm.nih.gov/pubmed/34648525
http://dx.doi.org/10.1371/journal.pone.0258308
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author Millar, Jess A.
Dao, Hanh Dung N.
Stefopulos, Marianne E.
Estevam, Camila G.
Fagan-Garcia, Katharine
Taft, Diana H.
Park, Christopher
Alruwaily, Amaal
Desai, Angel N.
Majumder, Maimuna S.
author_facet Millar, Jess A.
Dao, Hanh Dung N.
Stefopulos, Marianne E.
Estevam, Camila G.
Fagan-Garcia, Katharine
Taft, Diana H.
Park, Christopher
Alruwaily, Amaal
Desai, Angel N.
Majumder, Maimuna S.
author_sort Millar, Jess A.
collection PubMed
description The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.
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spelling pubmed-85161942021-10-15 Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave Millar, Jess A. Dao, Hanh Dung N. Stefopulos, Marianne E. Estevam, Camila G. Fagan-Garcia, Katharine Taft, Diana H. Park, Christopher Alruwaily, Amaal Desai, Angel N. Majumder, Maimuna S. PLoS One Research Article The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities. Public Library of Science 2021-10-14 /pmc/articles/PMC8516194/ /pubmed/34648525 http://dx.doi.org/10.1371/journal.pone.0258308 Text en © 2021 Millar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Millar, Jess A.
Dao, Hanh Dung N.
Stefopulos, Marianne E.
Estevam, Camila G.
Fagan-Garcia, Katharine
Taft, Diana H.
Park, Christopher
Alruwaily, Amaal
Desai, Angel N.
Majumder, Maimuna S.
Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title_full Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title_fullStr Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title_full_unstemmed Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title_short Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
title_sort risk factors for increased covid-19 case-fatality in the united states: a county-level analysis during the first wave
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516194/
https://www.ncbi.nlm.nih.gov/pubmed/34648525
http://dx.doi.org/10.1371/journal.pone.0258308
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