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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8516194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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