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Modeling community COVID-19 transmission risk associated with U.S. universities

The ongoing COVID-19 pandemic is among the worst in recent history, resulting in excess of 520,000,000 cases and 6,200,000 deaths worldwide. The United States (U.S.) has recently surpassed 1,000,000 deaths. Individuals who are elderly and/or immunocompromised are the most susceptible to serious sequ...

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Autores principales: Uelmen, J. A., Kopsco, H., Mori, J., Brown, W. M., Smith, R. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875777/
https://www.ncbi.nlm.nih.gov/pubmed/36697468
http://dx.doi.org/10.1038/s41598-023-28212-z
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author Uelmen, J. A.
Kopsco, H.
Mori, J.
Brown, W. M.
Smith, R. L.
author_facet Uelmen, J. A.
Kopsco, H.
Mori, J.
Brown, W. M.
Smith, R. L.
author_sort Uelmen, J. A.
collection PubMed
description The ongoing COVID-19 pandemic is among the worst in recent history, resulting in excess of 520,000,000 cases and 6,200,000 deaths worldwide. The United States (U.S.) has recently surpassed 1,000,000 deaths. Individuals who are elderly and/or immunocompromised are the most susceptible to serious sequelae. Rising sentiment often implicates younger, less-vulnerable populations as primary introducers of COVID-19 to communities, particularly around colleges and universities. Adjusting for more than 32 key socio-demographic, economic, and epidemiologic variables, we (1) implemented regressions to determine the overall community-level, age-adjusted COVID-19 case and mortality rate within each American county, and (2) performed a subgroup analysis among a sample of U.S. colleges and universities to identify any significant preliminary mitigation measures implemented during the fall 2020 semester. From January 1, 2020 through March 31, 2021, a total of 22,385,335 cases and 374,130 deaths were reported to the CDC. Overall, counties with increasing numbers of university enrollment showed significantly lower case rates and marginal decreases in mortality rates. County-level population demographics, and not university level mitigation measures, were the most significant predictor of adjusted COVID-19 case rates. Contrary to common sentiment, our findings demonstrate that counties with high university enrollments may be more adherent to public safety measures and vaccinations, likely contributing to safer communities.
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spelling pubmed-98757772023-01-25 Modeling community COVID-19 transmission risk associated with U.S. universities Uelmen, J. A. Kopsco, H. Mori, J. Brown, W. M. Smith, R. L. Sci Rep Article The ongoing COVID-19 pandemic is among the worst in recent history, resulting in excess of 520,000,000 cases and 6,200,000 deaths worldwide. The United States (U.S.) has recently surpassed 1,000,000 deaths. Individuals who are elderly and/or immunocompromised are the most susceptible to serious sequelae. Rising sentiment often implicates younger, less-vulnerable populations as primary introducers of COVID-19 to communities, particularly around colleges and universities. Adjusting for more than 32 key socio-demographic, economic, and epidemiologic variables, we (1) implemented regressions to determine the overall community-level, age-adjusted COVID-19 case and mortality rate within each American county, and (2) performed a subgroup analysis among a sample of U.S. colleges and universities to identify any significant preliminary mitigation measures implemented during the fall 2020 semester. From January 1, 2020 through March 31, 2021, a total of 22,385,335 cases and 374,130 deaths were reported to the CDC. Overall, counties with increasing numbers of university enrollment showed significantly lower case rates and marginal decreases in mortality rates. County-level population demographics, and not university level mitigation measures, were the most significant predictor of adjusted COVID-19 case rates. Contrary to common sentiment, our findings demonstrate that counties with high university enrollments may be more adherent to public safety measures and vaccinations, likely contributing to safer communities. Nature Publishing Group UK 2023-01-25 /pmc/articles/PMC9875777/ /pubmed/36697468 http://dx.doi.org/10.1038/s41598-023-28212-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Uelmen, J. A.
Kopsco, H.
Mori, J.
Brown, W. M.
Smith, R. L.
Modeling community COVID-19 transmission risk associated with U.S. universities
title Modeling community COVID-19 transmission risk associated with U.S. universities
title_full Modeling community COVID-19 transmission risk associated with U.S. universities
title_fullStr Modeling community COVID-19 transmission risk associated with U.S. universities
title_full_unstemmed Modeling community COVID-19 transmission risk associated with U.S. universities
title_short Modeling community COVID-19 transmission risk associated with U.S. universities
title_sort modeling community covid-19 transmission risk associated with u.s. universities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875777/
https://www.ncbi.nlm.nih.gov/pubmed/36697468
http://dx.doi.org/10.1038/s41598-023-28212-z
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