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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: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924276/ https://www.ncbi.nlm.nih.gov/pubmed/33655256 http://dx.doi.org/10.1101/2021.02.24.21252135 |
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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-7924276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-79242762021-03-03 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. medRxiv 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. Cold Spring Harbor Laboratory 2021-02-26 /pmc/articles/PMC7924276/ /pubmed/33655256 http://dx.doi.org/10.1101/2021.02.24.21252135 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | 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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924276/ https://www.ncbi.nlm.nih.gov/pubmed/33655256 http://dx.doi.org/10.1101/2021.02.24.21252135 |
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