School and community reopening during the COVID-19 pandemic: a mathematical modelling study
School and community reopening during the COVID-19 pandemic: a mathematical modelling study
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- creativework.keywords - en
- age structure
- COVID-19
- community opening
- household structure
- school reopening
- transmission model
- mathematical modelling
- computational biology
- dc.contributor.author
- Yuan, Pei
- Aruffo, Elena
- Gatov, Evgenia
- Tan, Yi
- Li, Qi
- Ogden, Nick
- Collier, Sarah
- Nasri, Bouchra
- Moyles, Iain
- Zhu, Huaiping
- dc.date.accessioned
- 2024-03-20T14:45:33Z
- dc.date.available
- 2024-03-20T14:45:33Z
- dc.date.issued
- 2022-02
- dc.description.abstract - en
- 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.
- dc.identifier.citation
- Yuan P, Aruffo E, Gatov E, Tan Y, Li Q, Ogden N, Collier S, Nasri B, Moyles I, Zhu H. School and community reopening during the COVID-19 pandemic: a mathematical modelling study. R Soc Open Sci. 2022 Feb 2;9(2):211883. doi: 10.1098/rsos.211883.
- dc.identifier.doi
- https://doi.org/10.1098/rsos.211883
- dc.identifier.issn
- 2054-5703
- dc.identifier.pubmedID
- 35127115
- dc.identifier.uri
- https://open-science.canada.ca/handle/123456789/2171
- dc.language.iso
- en
- dc.publisher
- Royal Society Publishing
- dc.rights - en
- Creative Commons Attribution 4.0 International (CC BY 4.0)
- dc.rights - fr
- Creative Commons Attribution 4.0 International (CC BY 4.0)
- dc.rights.openaccesslevel - en
- Gold
- dc.rights.openaccesslevel - fr
- Or
- dc.rights.uri - en
- https://creativecommons.org/licenses/by/4.0/
- dc.rights.uri - fr
- https://creativecommons.org/licenses/by/4.0/deed.fr
- dc.subject - en
- Health
- dc.subject - fr
- Santé
- dc.subject.en - en
- Health
- dc.subject.fr - fr
- Santé
- dc.title - en
- School and community reopening during the COVID-19 pandemic: a mathematical modelling study
- dc.type - en
- Article
- dc.type - fr
- Article
- local.acceptedmanuscript.articlenum
- 211883
- local.article.journaltitle
- Royal Society Open Science
- local.article.journalvolume
- 9
- local.peerreview - en
- Yes
- local.peerreview - fr
- Oui
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