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Do school closures reduce community transmission of COVID-19? A systematic review of observational studies
Sebastian Walsh; Avirup Chowdhury; Vickie Braithwaite; Simon Russell; Jack M Birch; Joseph Ward; Claire Waddington; Carol Brayne; Chris Bonell; Russell M Viner; Oliver Mytton.
Afiliação
  • Sebastian Walsh; Cambridge Public Health, University of Cambridge
  • Avirup Chowdhury; MRC Epidemiology Unit, University of Cambridge
  • Vickie Braithwaite; MRC Epidemiology Unit, University of Cambridge
  • Simon Russell; UCL Great Ormond St. Institute of Child Health
  • Jack M Birch; MRC Epidemiology Unit, University of Cambridge
  • Joseph Ward; UCL Great Ormond St. Institute of Child Health
  • Claire Waddington; Department of Medicine, University of Cambridge
  • Carol Brayne; Cambridge Public Health, University of Cambridge
  • Chris Bonell; Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine
  • Russell M Viner; UCL Great Ormond St. Institute of Child Health
  • Oliver Mytton; MRC Epidemiology Unit, University of Cambridge
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21249146
ABSTRACT
BackgroundSchool closures are associated with significant negative consequences and exacerbate inequalities. They were implemented worldwide to control SARS-CoV-2 in the first half of 2020, but their effectiveness, and the effects of lifting them, remain uncertain. This review summarises observational evidence of the effect of school closures and school reopenings on SARS-CoV-2 community transmission. MethodsThe study protocol was registered on Prospero (IDCRD42020213699). On 07 January 2021 we searched PubMed, Web of Science, Scopus, CINAHL, the WHO Global COVID-19 Research Database, ERIC, the British Education Index, the Australian Education Index, and Google. We included observational studies with quantitative estimates of the effect of school closures/reopenings on SARS-CoV-2 community transmission. We excluded prospective modelling studies and intra-school transmission studies. We performed a narrative synthesis due to data heterogeneity. We used the ROBINS-I tool to assess risk of bias. FindingsWe identified 7,474 articles, of which 40 were included, with data from 150 countries. Of these 32 studies assessed school closures, and 11 examined reopenings. There was substantial heterogeneity between school closure studies, with half of the studies at lower risk of bias reporting reduced community transmission by up to 60%, and half reporting null findings. The majority (n=3 out of 4) of school reopening studies at lower risk of bias reported no associated increases in transmission. ConclusionsSchool closure studies were at risk of confounding and collinearity from other non-pharmacological interventions implemented around the same time as school closures, and the effectiveness of closures remains uncertain. School reopenings, in areas of low transmission and with appropriate mitigation measures, were generally not accompanied by increasing community transmission. With such varied evidence on effectiveness, and the harmful effects, policymakers should take a measured approach before implementing school closures; and should look to reopen schools in times of low transmission, with appropriate mitigation measures.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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