Optimizing COVID-19 testing strategies on college campuses : Evaluation of the health and economic costs
Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication..
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 the changing health and economic risks associated with SARS-CoV-2. We developed a decision-support tool to aid in the design of university-based screening 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 twice 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 as well as campus-specific populations, resources, and priorities.
| Errataetall: | |
|---|---|
| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:19 |
|---|---|
| Enthalten in: |
PLoS computational biology - 19(2023), 12 vom: 26. Dez., Seite e1011715 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Johnson, Kaitlyn E [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 09.01.2024 Date Revised 10.02.2024 published: Electronic-eCollection UpdateOf: medRxiv. 2022 Dec 05;:. - PMID 36523405 Citation Status MEDLINE |
|---|
| doi: |
10.1371/journal.pcbi.1011715 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM366248871 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM366248871 | ||
| 003 | DE-627 | ||
| 005 | 20240210233015.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231227s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1371/journal.pcbi.1011715 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1287.xml |
| 035 | |a (DE-627)NLM366248871 | ||
| 035 | |a (NLM)38134223 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Johnson, Kaitlyn E |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Optimizing COVID-19 testing strategies on college campuses |b Evaluation of the health and economic costs |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 09.01.2024 | ||
| 500 | |a Date Revised 10.02.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a UpdateOf: medRxiv. 2022 Dec 05;:. - PMID 36523405 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. | ||
| 520 | |a 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 the changing health and economic risks associated with SARS-CoV-2. We developed a decision-support tool to aid in the design of university-based screening 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 twice 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 as well as campus-specific populations, resources, and priorities | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Pasco, Remy |e verfasserin |4 aut | |
| 700 | 1 | |a Woody, Spencer |e verfasserin |4 aut | |
| 700 | 1 | |a Lachmann, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Johnson-Leon, Maureen |e verfasserin |4 aut | |
| 700 | 1 | |a Bhavnani, Darlene |e verfasserin |4 aut | |
| 700 | 1 | |a Klima, Jessica |e verfasserin |4 aut | |
| 700 | 1 | |a Paltiel, A David |e verfasserin |4 aut | |
| 700 | 1 | |a Fox, Spencer J |e verfasserin |4 aut | |
| 700 | 1 | |a Meyers, Lauren Ancel |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t PLoS computational biology |d 2005 |g 19(2023), 12 vom: 26. Dez., Seite e1011715 |w (DE-627)NLM15722645X |x 1553-7358 |7 nnns |
| 773 | 1 | 8 | |g volume:19 |g year:2023 |g number:12 |g day:26 |g month:12 |g pages:e1011715 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1371/journal.pcbi.1011715 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 19 |j 2023 |e 12 |b 26 |c 12 |h e1011715 | ||