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COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts
In response to COVID-19, schools across the United States closed in early 2020; many did not fully reopen until late 2021. Although regular testing of asymptomatic students, teachers, and staff can reduce transmission risks, few school systems consistently used proactive testing to safeguard return...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973671/ https://www.ncbi.nlm.nih.gov/pubmed/36787729 http://dx.doi.org/10.3201/eid2903.220761 |
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author | Pasco, Remy Johnson, Kaitlyn Fox, Spencer J. Pierce, Kelly A. Johnson-León, Maureen Lachmann, Michael Morton, David P. Meyers, Lauren Ancel |
author_facet | Pasco, Remy Johnson, Kaitlyn Fox, Spencer J. Pierce, Kelly A. Johnson-León, Maureen Lachmann, Michael Morton, David P. Meyers, Lauren Ancel |
author_sort | Pasco, Remy |
collection | PubMed |
description | In response to COVID-19, schools across the United States closed in early 2020; many did not fully reopen until late 2021. Although regular testing of asymptomatic students, teachers, and staff can reduce transmission risks, few school systems consistently used proactive testing to safeguard return to classrooms. Socioeconomically diverse public school districts might vary testing levels across campuses to ensure fair, effective use of limited resources. We describe a test allocation approach to reduce overall infections and disparities across school districts. Using a model of SARS-CoV-2 transmission in schools fit to data from a large metropolitan school district in Texas, we reduced incidence between the highest and lowest risk schools from a 5.6-fold difference under proportional test allocation to 1.8-fold difference under our optimized test allocation. This approach provides a roadmap to help school districts deploy proactive testing and mitigate risks of future SARS-CoV-2 variants and other pathogen threats. |
format | Online Article Text |
id | pubmed-9973671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-99736712023-03-01 COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts Pasco, Remy Johnson, Kaitlyn Fox, Spencer J. Pierce, Kelly A. Johnson-León, Maureen Lachmann, Michael Morton, David P. Meyers, Lauren Ancel Emerg Infect Dis Research In response to COVID-19, schools across the United States closed in early 2020; many did not fully reopen until late 2021. Although regular testing of asymptomatic students, teachers, and staff can reduce transmission risks, few school systems consistently used proactive testing to safeguard return to classrooms. Socioeconomically diverse public school districts might vary testing levels across campuses to ensure fair, effective use of limited resources. We describe a test allocation approach to reduce overall infections and disparities across school districts. Using a model of SARS-CoV-2 transmission in schools fit to data from a large metropolitan school district in Texas, we reduced incidence between the highest and lowest risk schools from a 5.6-fold difference under proportional test allocation to 1.8-fold difference under our optimized test allocation. This approach provides a roadmap to help school districts deploy proactive testing and mitigate risks of future SARS-CoV-2 variants and other pathogen threats. Centers for Disease Control and Prevention 2023-03 /pmc/articles/PMC9973671/ /pubmed/36787729 http://dx.doi.org/10.3201/eid2903.220761 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Pasco, Remy Johnson, Kaitlyn Fox, Spencer J. Pierce, Kelly A. Johnson-León, Maureen Lachmann, Michael Morton, David P. Meyers, Lauren Ancel COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title | COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title_full | COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title_fullStr | COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title_full_unstemmed | COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title_short | COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts |
title_sort | covid-19 test allocation strategy to mitigate sars-cov-2 infections across school districts |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973671/ https://www.ncbi.nlm.nih.gov/pubmed/36787729 http://dx.doi.org/10.3201/eid2903.220761 |
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