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Passing the Test: A model-based analysis of safe school-reopening strategies

BACKGROUND. The COVID-19 pandemic has induced historic educational disruptions. In December 2020, at least two-thirds of US public school students were not attending full-time in-person education. The Biden Administration has expressed that reopening schools is a priority. OBJECTIVE. To compare risk...

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Autores principales: Bilinski, Alyssa, Salomon, Joshua A., Giardina, John, Ciaranello, Andrea, Fitzpatrick, Meagan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852255/
https://www.ncbi.nlm.nih.gov/pubmed/33532804
http://dx.doi.org/10.1101/2021.01.27.21250388
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author Bilinski, Alyssa
Salomon, Joshua A.
Giardina, John
Ciaranello, Andrea
Fitzpatrick, Meagan C.
author_facet Bilinski, Alyssa
Salomon, Joshua A.
Giardina, John
Ciaranello, Andrea
Fitzpatrick, Meagan C.
author_sort Bilinski, Alyssa
collection PubMed
description BACKGROUND. The COVID-19 pandemic has induced historic educational disruptions. In December 2020, at least two-thirds of US public school students were not attending full-time in-person education. The Biden Administration has expressed that reopening schools is a priority. OBJECTIVE. To compare risks of SARS-COV-2 transmission in schools across different school-based prevention strategies and levels of community transmission. DESIGN. We developed an agent-based network model to simulate transmission in elementary and high school communities, including home, school, and inter-household interactions. SETTING. We parameterized school structure based on average US classrooms, with elementary schools of 638 students and high schools of 1,451 students. We varied daily community incidence from 1 to 100 cases per 100,000 population. PATIENTS (OR PARTICIPANTS). We simulated students, faculty/staff, and adult household members. INTERVENTIONS. We evaluated isolation of symptomatic individuals, quarantine of an infected individual’s contacts, reduced class sizes, alternative schedules, staff vaccination, and weekly asymptomatic screening. MEASUREMENTS. We projected transmission among students, staff and families during one month following introduction of a single infection into a school. We also calculated the number of infections expected for a typical 8-week quarter, contingent on community incidence rate. RESULTS. School transmission risk varies according to student age and community incidence and is substantially reduced with effective, consistent mitigation measures. Nevertheless, when transmission occurs, it may be difficult to detect without regular, frequent testing due to the subclinical nature of most infections in children. Teacher vaccination can reduce transmission to staff, while asymptomatic screening both improves understanding of local circumstances and reduces transmission, facilitating five-day schedules at full classroom capacity. LIMITATIONS. There is uncertainty about susceptibility and infectiousness of children and low precision regarding the effectiveness of specific prevention measures, particularly with emergence of new variants. CONCLUSION. With controlled community transmission and moderate school-based prevention measures, elementary schools can open with few in-school transmissions, while high schools require more intensive mitigation. Asymptomatic screening should be a key component of school reopenings, allowing reopening at higher community incidence while still minimizing transmission risk.
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spelling pubmed-78522552021-02-03 Passing the Test: A model-based analysis of safe school-reopening strategies Bilinski, Alyssa Salomon, Joshua A. Giardina, John Ciaranello, Andrea Fitzpatrick, Meagan C. medRxiv Article BACKGROUND. The COVID-19 pandemic has induced historic educational disruptions. In December 2020, at least two-thirds of US public school students were not attending full-time in-person education. The Biden Administration has expressed that reopening schools is a priority. OBJECTIVE. To compare risks of SARS-COV-2 transmission in schools across different school-based prevention strategies and levels of community transmission. DESIGN. We developed an agent-based network model to simulate transmission in elementary and high school communities, including home, school, and inter-household interactions. SETTING. We parameterized school structure based on average US classrooms, with elementary schools of 638 students and high schools of 1,451 students. We varied daily community incidence from 1 to 100 cases per 100,000 population. PATIENTS (OR PARTICIPANTS). We simulated students, faculty/staff, and adult household members. INTERVENTIONS. We evaluated isolation of symptomatic individuals, quarantine of an infected individual’s contacts, reduced class sizes, alternative schedules, staff vaccination, and weekly asymptomatic screening. MEASUREMENTS. We projected transmission among students, staff and families during one month following introduction of a single infection into a school. We also calculated the number of infections expected for a typical 8-week quarter, contingent on community incidence rate. RESULTS. School transmission risk varies according to student age and community incidence and is substantially reduced with effective, consistent mitigation measures. Nevertheless, when transmission occurs, it may be difficult to detect without regular, frequent testing due to the subclinical nature of most infections in children. Teacher vaccination can reduce transmission to staff, while asymptomatic screening both improves understanding of local circumstances and reduces transmission, facilitating five-day schedules at full classroom capacity. LIMITATIONS. There is uncertainty about susceptibility and infectiousness of children and low precision regarding the effectiveness of specific prevention measures, particularly with emergence of new variants. CONCLUSION. With controlled community transmission and moderate school-based prevention measures, elementary schools can open with few in-school transmissions, while high schools require more intensive mitigation. Asymptomatic screening should be a key component of school reopenings, allowing reopening at higher community incidence while still minimizing transmission risk. Cold Spring Harbor Laboratory 2021-01-29 /pmc/articles/PMC7852255/ /pubmed/33532804 http://dx.doi.org/10.1101/2021.01.27.21250388 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Bilinski, Alyssa
Salomon, Joshua A.
Giardina, John
Ciaranello, Andrea
Fitzpatrick, Meagan C.
Passing the Test: A model-based analysis of safe school-reopening strategies
title Passing the Test: A model-based analysis of safe school-reopening strategies
title_full Passing the Test: A model-based analysis of safe school-reopening strategies
title_fullStr Passing the Test: A model-based analysis of safe school-reopening strategies
title_full_unstemmed Passing the Test: A model-based analysis of safe school-reopening strategies
title_short Passing the Test: A model-based analysis of safe school-reopening strategies
title_sort passing the test: a model-based analysis of safe school-reopening strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852255/
https://www.ncbi.nlm.nih.gov/pubmed/33532804
http://dx.doi.org/10.1101/2021.01.27.21250388
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