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The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study

BACKGROUND: Several American universities have experienced COVID-19 outbreaks, risking the health of their students, employees, and local communities. Such large outbreaks have drained university resources and forced several institutions to shift to remote learning and send students home, further co...

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Autores principales: Rennert, Lior, Kalbaugh, Corey A., McMahan, Christopher, Shi, Lu, Colenda, Christopher C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343346/
https://www.ncbi.nlm.nih.gov/pubmed/34362333
http://dx.doi.org/10.1186/s12889-021-11525-x
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author Rennert, Lior
Kalbaugh, Corey A.
McMahan, Christopher
Shi, Lu
Colenda, Christopher C.
author_facet Rennert, Lior
Kalbaugh, Corey A.
McMahan, Christopher
Shi, Lu
Colenda, Christopher C.
author_sort Rennert, Lior
collection PubMed
description BACKGROUND: Several American universities have experienced COVID-19 outbreaks, risking the health of their students, employees, and local communities. Such large outbreaks have drained university resources and forced several institutions to shift to remote learning and send students home, further contributing to community disease spread. Many of these outbreaks can be attributed to the large numbers of active infections returning to campus, alongside high-density social events that typically take place at the semester start. In the absence of effective mitigation measures (e.g., high-frequency testing), a phased return of students to campus is a practical intervention to minimize the student population size and density early in the semester, reduce outbreaks, preserve institutional resources, and ultimately help mitigate disease spread in communities. METHODS: We develop dynamic compartmental SARS-CoV-2 transmission models to assess the impact of a phased reopening, in conjunction with pre-arrival testing, on minimizing on-campus outbreaks and preserving university resources (measured by isolation bed capacity). We assumed an on-campus population of N = 7500, 40% of infected students require isolation, 10 day isolation period, pre-arrival testing removes 90% of incoming infections, and that phased reopening returns one-third of the student population to campus each month. We vary the disease reproductive number (R(t)) between 1.5 and 3.5 to represent the effectiveness of alternative mitigation strategies throughout the semester. RESULTS: Compared to pre-arrival testing only or neither intervention, phased reopening with pre-arrival testing reduced peak active infections by 3 and 22% (R(t) = 1.5), 22 and 29% (R(t) = 2.5), 41 and 45% (R(t) = 3.5), and 54 and 58% (improving R(t)), respectively. Required isolation bed capacity decreased between 20 and 57% for values of R(t) ≥ 2.5. CONCLUSION: Unless highly effective mitigation measures are in place, a reopening with pre-arrival testing substantially reduces peak number of active infections throughout the semester and preserves university resources compared to the simultaneous return of all students to campus. Phased reopenings allow institutions to ensure sufficient resources are in place, improve disease mitigation strategies, or if needed, preemptively move online before the return of additional students to campus, thus preventing unnecessary harm to students, institutional faculty and staff, and local communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11525-x.
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spelling pubmed-83433462021-08-06 The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study Rennert, Lior Kalbaugh, Corey A. McMahan, Christopher Shi, Lu Colenda, Christopher C. BMC Public Health Research Article BACKGROUND: Several American universities have experienced COVID-19 outbreaks, risking the health of their students, employees, and local communities. Such large outbreaks have drained university resources and forced several institutions to shift to remote learning and send students home, further contributing to community disease spread. Many of these outbreaks can be attributed to the large numbers of active infections returning to campus, alongside high-density social events that typically take place at the semester start. In the absence of effective mitigation measures (e.g., high-frequency testing), a phased return of students to campus is a practical intervention to minimize the student population size and density early in the semester, reduce outbreaks, preserve institutional resources, and ultimately help mitigate disease spread in communities. METHODS: We develop dynamic compartmental SARS-CoV-2 transmission models to assess the impact of a phased reopening, in conjunction with pre-arrival testing, on minimizing on-campus outbreaks and preserving university resources (measured by isolation bed capacity). We assumed an on-campus population of N = 7500, 40% of infected students require isolation, 10 day isolation period, pre-arrival testing removes 90% of incoming infections, and that phased reopening returns one-third of the student population to campus each month. We vary the disease reproductive number (R(t)) between 1.5 and 3.5 to represent the effectiveness of alternative mitigation strategies throughout the semester. RESULTS: Compared to pre-arrival testing only or neither intervention, phased reopening with pre-arrival testing reduced peak active infections by 3 and 22% (R(t) = 1.5), 22 and 29% (R(t) = 2.5), 41 and 45% (R(t) = 3.5), and 54 and 58% (improving R(t)), respectively. Required isolation bed capacity decreased between 20 and 57% for values of R(t) ≥ 2.5. CONCLUSION: Unless highly effective mitigation measures are in place, a reopening with pre-arrival testing substantially reduces peak number of active infections throughout the semester and preserves university resources compared to the simultaneous return of all students to campus. Phased reopenings allow institutions to ensure sufficient resources are in place, improve disease mitigation strategies, or if needed, preemptively move online before the return of additional students to campus, thus preventing unnecessary harm to students, institutional faculty and staff, and local communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11525-x. BioMed Central 2021-08-06 /pmc/articles/PMC8343346/ /pubmed/34362333 http://dx.doi.org/10.1186/s12889-021-11525-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Rennert, Lior
Kalbaugh, Corey A.
McMahan, Christopher
Shi, Lu
Colenda, Christopher C.
The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title_full The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title_fullStr The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title_full_unstemmed The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title_short The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
title_sort impact of phased university reopenings on mitigating the spread of covid-19: a modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343346/
https://www.ncbi.nlm.nih.gov/pubmed/34362333
http://dx.doi.org/10.1186/s12889-021-11525-x
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