Munday, James D; Jarvis, Christopher I; Gimma, Amy; Wong, Kerry LM; van Zandvoort, Kevin; CMMID COVID-19 Working Group; Funk, Sebastian; Edmunds, W John; CMMID COVID-19 Working Group; (2021) Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. BMC medicine, 19 (1). 233-. ISSN 1741-7015 DOI: https://doi.org/10.1186/s12916-021-02107-0
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Abstract
BACKGROUND: Schools were closed in England on 4 January 2021 as part of increased national restrictions to curb transmission of SARS-CoV-2. The UK government reopened schools on 8 March. Although there was evidence of lower individual-level transmission risk amongst children compared to adults, the combined effects of this with increased contact rates in school settings and the resulting impact on the overall transmission rate in the population were not clear. METHODS: We measured social contacts of > 5000 participants weekly from March 2020, including periods when schools were both open and closed, amongst other restrictions. We combined these data with estimates of the susceptibility and infectiousness of children compared with adults to estimate the impact of reopening schools on the reproduction number. RESULTS: Our analysis indicates that reopening all schools under the same measures as previous periods that combined lockdown with face-to-face schooling would be likely to increase the reproduction number substantially. Assuming a baseline of 0.8, we estimated a likely increase to between 1.0 and 1.5 with the reopening of all schools or to between 0.9 and 1.2 reopening primary or secondary schools alone. CONCLUSION: Our results suggest that reopening schools would likely halt the fall in cases observed between January and March 2021 and would risk a return to rising infections, but these estimates relied heavily on the latest estimates or reproduction number and the validity of the susceptibility and infectiousness profiles we used at the time of reopening.
Item Type | Article |
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Faculty and Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
Research Centre |
Covid-19 Research Centre for the Mathematical Modelling of Infectious Diseases Centre for Maternal, Reproductive and Child Health (MARCH) |
PubMed ID | 34503493 |
Elements ID | 166056 |
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Filename: Estimating the impact of reopening schools.pdf
Licence: Creative Commons: Attribution 4.0
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