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School and community reopening during the COVID-19 pandemic: a mathematical modelling study
Operating schools safely during the COVID-19 pandemic requires a balance between health risks and the need for in-person learning. Using demographic and epidemiological data between 31 July and 23 November 2020 from Toronto, Canada, we developed a compartmental transmission model with age, household...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808096/ https://www.ncbi.nlm.nih.gov/pubmed/35127115 http://dx.doi.org/10.1098/rsos.211883 |
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author | Yuan, Pei Aruffo, Elena Gatov, Evgenia Tan, Yi Li, Qi Ogden, Nick Collier, Sarah Nasri, Bouchra Moyles, Iain Zhu, Huaiping |
author_facet | Yuan, Pei Aruffo, Elena Gatov, Evgenia Tan, Yi Li, Qi Ogden, Nick Collier, Sarah Nasri, Bouchra Moyles, Iain Zhu, Huaiping |
author_sort | Yuan, Pei |
collection | PubMed |
description | Operating schools safely during the COVID-19 pandemic requires a balance between health risks and the need for in-person learning. Using demographic and epidemiological data between 31 July and 23 November 2020 from Toronto, Canada, we developed a compartmental transmission model with age, household and setting structure to study the impact of schools reopening in September 2020. The model simulates transmission in the home, community and schools, accounting for differences in infectiousness between adults and children, and accounting for work-from-home and virtual learning. While we found a slight increase in infections among adults (2.2%) and children (4.5%) within the first eight weeks of school reopening, transmission in schools was not the key driver of the virus resurgence in autumn 2020. Rather, it was community spread that determined the outbreak trajectory, primarily due to increases in contact rates among adults in the community after school reopening. Analyses of cross-infection among households, communities and schools revealed that home transmission is crucial for epidemic progression and safely operating schools, while the degree of in-person attendance has a larger impact than other control measures in schools. This study suggests that safe school reopening requires the strict maintenance of public health measures in the community. |
format | Online Article Text |
id | pubmed-8808096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-88080962022-02-04 School and community reopening during the COVID-19 pandemic: a mathematical modelling study Yuan, Pei Aruffo, Elena Gatov, Evgenia Tan, Yi Li, Qi Ogden, Nick Collier, Sarah Nasri, Bouchra Moyles, Iain Zhu, Huaiping R Soc Open Sci Mathematics Operating schools safely during the COVID-19 pandemic requires a balance between health risks and the need for in-person learning. Using demographic and epidemiological data between 31 July and 23 November 2020 from Toronto, Canada, we developed a compartmental transmission model with age, household and setting structure to study the impact of schools reopening in September 2020. The model simulates transmission in the home, community and schools, accounting for differences in infectiousness between adults and children, and accounting for work-from-home and virtual learning. While we found a slight increase in infections among adults (2.2%) and children (4.5%) within the first eight weeks of school reopening, transmission in schools was not the key driver of the virus resurgence in autumn 2020. Rather, it was community spread that determined the outbreak trajectory, primarily due to increases in contact rates among adults in the community after school reopening. Analyses of cross-infection among households, communities and schools revealed that home transmission is crucial for epidemic progression and safely operating schools, while the degree of in-person attendance has a larger impact than other control measures in schools. This study suggests that safe school reopening requires the strict maintenance of public health measures in the community. The Royal Society 2022-02-02 /pmc/articles/PMC8808096/ /pubmed/35127115 http://dx.doi.org/10.1098/rsos.211883 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Yuan, Pei Aruffo, Elena Gatov, Evgenia Tan, Yi Li, Qi Ogden, Nick Collier, Sarah Nasri, Bouchra Moyles, Iain Zhu, Huaiping School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title | School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title_full | School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title_fullStr | School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title_full_unstemmed | School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title_short | School and community reopening during the COVID-19 pandemic: a mathematical modelling study |
title_sort | school and community reopening during the covid-19 pandemic: a mathematical modelling study |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808096/ https://www.ncbi.nlm.nih.gov/pubmed/35127115 http://dx.doi.org/10.1098/rsos.211883 |
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