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Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs
Colleges and universities in the US struggled to provide safe in-person education throughout the COVID-19 pandemic. Testing coupled with isolation is a nimble intervention strategy that can be tailored to mitigate health and economic costs, as the virus and our arsenal of medical countermeasures con...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753781/ https://www.ncbi.nlm.nih.gov/pubmed/36523405 http://dx.doi.org/10.1101/2022.12.04.22283074 |
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author | Johnson, Kaitlyn E. Pasco, Remy Woody, Spencer Lachmann, Michael Johnson-Leon, Maureen Bhavnani, Darlene Klima, Jessica Paltiel, A. David Fox, Spencer J. Meyers, Lauren Ancel |
author_facet | Johnson, Kaitlyn E. Pasco, Remy Woody, Spencer Lachmann, Michael Johnson-Leon, Maureen Bhavnani, Darlene Klima, Jessica Paltiel, A. David Fox, Spencer J. Meyers, Lauren Ancel |
author_sort | Johnson, Kaitlyn E. |
collection | PubMed |
description | Colleges and universities in the US struggled to provide safe in-person education throughout the COVID-19 pandemic. Testing coupled with isolation is a nimble intervention strategy that can be tailored to mitigate health and economic costs, as the virus and our arsenal of medical countermeasures continue to evolve. We developed a decision-support tool to aid in the design of university-based testing strategies using a mathematical model of SARS-CoV-2 transmission. Applying this framework to a large public university reopening in the fall of 2021 with a 60% student vaccination rate, we find that the optimal strategy, in terms of health and economic costs, is twice weekly antigen testing of all students. This strategy provides a 95% guarantee that, throughout the fall semester, case counts would not exceed the CDC’s original high transmission threshold of 100 cases per 100k persons over 7 days. As the virus and our medical armament continue to evolve, testing will remain a flexible tool for managing risks and keeping campuses open. We have implemented this model as an online tool to facilitate the design of testing strategies that adjust for COVID-19 conditions, university-specific parameters, and institutional goals. |
format | Online Article Text |
id | pubmed-9753781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-97537812022-12-16 Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs Johnson, Kaitlyn E. Pasco, Remy Woody, Spencer Lachmann, Michael Johnson-Leon, Maureen Bhavnani, Darlene Klima, Jessica Paltiel, A. David Fox, Spencer J. Meyers, Lauren Ancel medRxiv Article Colleges and universities in the US struggled to provide safe in-person education throughout the COVID-19 pandemic. Testing coupled with isolation is a nimble intervention strategy that can be tailored to mitigate health and economic costs, as the virus and our arsenal of medical countermeasures continue to evolve. We developed a decision-support tool to aid in the design of university-based testing strategies using a mathematical model of SARS-CoV-2 transmission. Applying this framework to a large public university reopening in the fall of 2021 with a 60% student vaccination rate, we find that the optimal strategy, in terms of health and economic costs, is twice weekly antigen testing of all students. This strategy provides a 95% guarantee that, throughout the fall semester, case counts would not exceed the CDC’s original high transmission threshold of 100 cases per 100k persons over 7 days. As the virus and our medical armament continue to evolve, testing will remain a flexible tool for managing risks and keeping campuses open. We have implemented this model as an online tool to facilitate the design of testing strategies that adjust for COVID-19 conditions, university-specific parameters, and institutional goals. Cold Spring Harbor Laboratory 2022-12-05 /pmc/articles/PMC9753781/ /pubmed/36523405 http://dx.doi.org/10.1101/2022.12.04.22283074 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Johnson, Kaitlyn E. Pasco, Remy Woody, Spencer Lachmann, Michael Johnson-Leon, Maureen Bhavnani, Darlene Klima, Jessica Paltiel, A. David Fox, Spencer J. Meyers, Lauren Ancel Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title | Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title_full | Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title_fullStr | Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title_full_unstemmed | Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title_short | Optimizing COVID-19 testing strategies on college campuses: evaluation of the health and economic costs |
title_sort | optimizing covid-19 testing strategies on college campuses: evaluation of the health and economic costs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753781/ https://www.ncbi.nlm.nih.gov/pubmed/36523405 http://dx.doi.org/10.1101/2022.12.04.22283074 |
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