Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy.


Journal

PLOS digital health
ISSN: 2767-3170
Titre abrégé: PLOS Digit Health
Pays: United States
ID NLM: 9918335064206676

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 05 12 2021
accepted: 18 05 2022
entrez: 22 2 2023
pubmed: 23 2 2023
medline: 23 2 2023
Statut: epublish

Résumé

With a dataset of testing and case counts from over 1,400 institutions of higher education (IHEs) in the United States, we analyze the number of infections and deaths from SARS-CoV-2 in the counties surrounding these IHEs during the Fall 2020 semester (August to December, 2020). We find that counties with IHEs that remained primarily online experienced fewer cases and deaths during the Fall 2020 semester; whereas before and after the semester, these two groups had almost identical COVID-19 incidence. Additionally, we see fewer cases and deaths in counties with IHEs that reported conducting any on-campus testing compared to those that reported none. To perform these two comparisons, we used a matching procedure designed to create well-balanced groups of counties that are aligned as much as possible along age, race, income, population, and urban/rural categories-demographic variables that have been shown to be correlated with COVID-19 outcomes. We conclude with a case study of IHEs in Massachusetts-a state with especially high detail in our dataset-which further highlights the importance of IHE-affiliated testing for the broader community. The results in this work suggest that campus testing can itself be thought of as a mitigation policy and that allocating additional resources to IHEs to support efforts to regularly test students and staff would be beneficial to mitigating the spread of COVID-19 in a pre-vaccine environment.

Identifiants

pubmed: 36812533
doi: 10.1371/journal.pdig.0000065
pii: PDIG-D-21-00129
pmc: PMC9931316
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0000065

Subventions

Organisme : NCIRD CDC HHS
ID : U01 IP001137
Pays : United States

Informations de copyright

Copyright: © 2022 Klein et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: S.V.S. holds unexercised options in Iliad Biotechnologies. This entity provided no financial support associated with this research, did not have a role in the design of this study, and did not have any role during its execution, analyses, interpretation of the data and/or decision to submit.

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Auteurs

Brennan Klein (B)

Network Science Institute, Northeastern University, Boston, United States of America.
Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, Massachusetts, United States of America.

Nicholas Generous (N)

Network Science Institute, Northeastern University, Boston, United States of America.
Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, Massachusetts, United States of America.
Biosecurity and Public Health Group, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.

Matteo Chinazzi (M)

Network Science Institute, Northeastern University, Boston, United States of America.
Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, Massachusetts, United States of America.

Zarana Bhadricha (Z)

Network Science Institute, Northeastern University, Boston, United States of America.
College of Engineering, Northeastern University, Boston, Massachusetts, United States of America.

Rishab Gunashekar (R)

Network Science Institute, Northeastern University, Boston, United States of America.
College of Engineering, Northeastern University, Boston, Massachusetts, United States of America.

Preeti Kori (P)

Network Science Institute, Northeastern University, Boston, United States of America.
College of Engineering, Northeastern University, Boston, Massachusetts, United States of America.

Bodian Li (B)

Network Science Institute, Northeastern University, Boston, United States of America.
College of Professional Studies, Northeastern University, Boston, Massachusetts, United States of America.

Stefan McCabe (S)

Network Science Institute, Northeastern University, Boston, United States of America.

Jon Green (J)

Network Science Institute, Northeastern University, Boston, United States of America.
Shorenstein Center on Media, Politics and Public Policy, Harvard University, Massachusetts, Boston, United States of America.

David Lazer (D)

Network Science Institute, Northeastern University, Boston, United States of America.

Christopher R Marsicano (CR)

Educational Studies Department, Davidson College, Davidson, North Carolina, United States of America.
College Crisis Initiative, Davidson College, Davidson, North Carolina, United States of America.

Samuel V Scarpino (SV)

Network Science Institute, Northeastern University, Boston, United States of America.
Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.
Santa Fe Institute, Santa Fe, United States of America.

Alessandro Vespignani (A)

Network Science Institute, Northeastern University, Boston, United States of America.
Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, Massachusetts, United States of America.

Classifications MeSH