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Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model

At the height of the COVID-19 pandemic, K-12 schools struggled to safely operate under the fast-changing pandemic situation. However, little is known about the impact of different school operating scenarios considering the ongoing efforts of vaccination. In this study, we deployed an agent-based sim...

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Autores principales: Weng, Xingran, Chen, Qiushi, Sathapathi, Tarun Kumar, Yin, Xin, Wang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409779/
https://www.ncbi.nlm.nih.gov/pubmed/37553415
http://dx.doi.org/10.1038/s41598-023-37980-7
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author Weng, Xingran
Chen, Qiushi
Sathapathi, Tarun Kumar
Yin, Xin
Wang, Li
author_facet Weng, Xingran
Chen, Qiushi
Sathapathi, Tarun Kumar
Yin, Xin
Wang, Li
author_sort Weng, Xingran
collection PubMed
description At the height of the COVID-19 pandemic, K-12 schools struggled to safely operate under the fast-changing pandemic situation. However, little is known about the impact of different school operating scenarios considering the ongoing efforts of vaccination. In this study, we deployed an agent-based simulation model to mimic disease transmission in a mid-sized community consisting of 10,000 households. A total of eight school operating scenarios were simulated, in decreasing order of restrictiveness regarding COVID-19 mitigation measures. When masks were worn at school, work, and community environments, increasing in-person education from 50% to 100% would result in only 1% increase in cumulative infections. When there were no masks nor contact tracing while schools were 100% in person, the cumulative infection increased by 86% compared to the scenario when both masking and contact tracing were in place. In the sensitivity analysis for vaccination efficacy, we found that higher vaccination efficacy was essential in reducing overall infections. Our findings showed that full in-person education was safe, especially when contact tracing, masking, and widespread vaccination were in place. If no masking nor contact tracing was practiced, the transmission would rose dramatically but eventually slow down due to herd immunity.
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spelling pubmed-104097792023-08-10 Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model Weng, Xingran Chen, Qiushi Sathapathi, Tarun Kumar Yin, Xin Wang, Li Sci Rep Article At the height of the COVID-19 pandemic, K-12 schools struggled to safely operate under the fast-changing pandemic situation. However, little is known about the impact of different school operating scenarios considering the ongoing efforts of vaccination. In this study, we deployed an agent-based simulation model to mimic disease transmission in a mid-sized community consisting of 10,000 households. A total of eight school operating scenarios were simulated, in decreasing order of restrictiveness regarding COVID-19 mitigation measures. When masks were worn at school, work, and community environments, increasing in-person education from 50% to 100% would result in only 1% increase in cumulative infections. When there were no masks nor contact tracing while schools were 100% in person, the cumulative infection increased by 86% compared to the scenario when both masking and contact tracing were in place. In the sensitivity analysis for vaccination efficacy, we found that higher vaccination efficacy was essential in reducing overall infections. Our findings showed that full in-person education was safe, especially when contact tracing, masking, and widespread vaccination were in place. If no masking nor contact tracing was practiced, the transmission would rose dramatically but eventually slow down due to herd immunity. Nature Publishing Group UK 2023-08-08 /pmc/articles/PMC10409779/ /pubmed/37553415 http://dx.doi.org/10.1038/s41598-023-37980-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Weng, Xingran
Chen, Qiushi
Sathapathi, Tarun Kumar
Yin, Xin
Wang, Li
Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title_full Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title_fullStr Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title_full_unstemmed Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title_short Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model
title_sort impact of school operating scenarios on covid-19 transmission under vaccination in the u.s.: an agent-based simulation model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409779/
https://www.ncbi.nlm.nih.gov/pubmed/37553415
http://dx.doi.org/10.1038/s41598-023-37980-7
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