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

Abstract 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 ser...

Full description

Bibliographic Details
Main Authors: J. A. Uelmen, H. Kopsco, J. Mori, W. M. Brown, R. L. Smith
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-28212-z
_version_ 1811175810778791936
author J. A. Uelmen
H. Kopsco
J. Mori
W. M. Brown
R. L. Smith
author_facet J. A. Uelmen
H. Kopsco
J. Mori
W. M. Brown
R. L. Smith
author_sort J. A. Uelmen
collection DOAJ
description Abstract 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.
first_indexed 2024-04-10T19:43:01Z
format Article
id doaj.art-5651601ec9b345f9b2939da27cbc8469
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-04-10T19:43:01Z
publishDate 2023-01-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-5651601ec9b345f9b2939da27cbc84692023-01-29T12:13:16ZengNature PortfolioScientific Reports2045-23222023-01-0113111510.1038/s41598-023-28212-zModeling community COVID-19 transmission risk associated with U.S. universitiesJ. A. Uelmen0H. Kopsco1J. Mori2W. M. Brown3R. L. Smith4Department of Epidemiology, School of Public Health, University of MichiganDepartment of Pathobiology, School of Veterinary Medicine, University of IllinoisNatural Resources and Environmental Sciences, University of IllinoisDepartment of Pathobiology, School of Veterinary Medicine, University of IllinoisDepartment of Pathobiology, School of Veterinary Medicine, University of IllinoisAbstract 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.https://doi.org/10.1038/s41598-023-28212-z
spellingShingle J. A. Uelmen
H. Kopsco
J. Mori
W. M. Brown
R. L. Smith
Modeling community COVID-19 transmission risk associated with U.S. universities
Scientific Reports
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
url https://doi.org/10.1038/s41598-023-28212-z
work_keys_str_mv AT jauelmen modelingcommunitycovid19transmissionriskassociatedwithusuniversities
AT hkopsco modelingcommunitycovid19transmissionriskassociatedwithusuniversities
AT jmori modelingcommunitycovid19transmissionriskassociatedwithusuniversities
AT wmbrown modelingcommunitycovid19transmissionriskassociatedwithusuniversities
AT rlsmith modelingcommunitycovid19transmissionriskassociatedwithusuniversities