Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
10 09 2021
Historique:
received: 09 03 2021
accepted: 26 08 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 16 10 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34503493
doi: 10.1186/s12916-021-02107-0
pii: 10.1186/s12916-021-02107-0
pmc: PMC8428960
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

233

Subventions

Organisme : Wellcome Trust
ID : 206471/Z/17/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 210758/Z/18/Z
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19065
Pays : United Kingdom

Investigateurs

Yang Liu (Y)
Joel Hellewell (J)
Nicholas G Davies (NG)
C Julian Villabona-Arenas (CJ)
Rosalind M Eggo (RM)
Akira Endo (A)
Nikos I Bosse (NI)
Hamish P Gibbs (HP)
Carl A B Pearson (CAB)
Fiona Yueqian Sun (FY)
Mark Jit (M)
Kathleen O'Reilly (K)
Yalda Jafari (Y)
Katherine E Atkins (KE)
Naomi R Waterlow (NR)
Alicia Rosello (A)
Yung-Wai Desmond Chan (YD)
Anna M Foss (AM)
Billy J Quilty (BJ)
Timothy W Russell (TW)
Stefan Flasche (S)
Simon R Procter (SR)
William Waites (W)
Rosanna C Barnard (RC)
Adam J Kucharski (AJ)
Thibaut Jombart (T)
Graham Medley (G)
Rachel Lowe (R)
Fabienne Krauer (F)
Damien C Tully (DC)
Kiesha Prem (K)
Jiayao Lei (J)
Oliver Brady (O)
Frank G Sandmann (FG)
Sophie R Meakin (SR)
Kaja Abbas (K)
Gwenan M Knight (GM)
Matthew Quaife (M)
Mihaly Koltai (M)
Sam Abbott (S)
Samuel Clifford (S)

Informations de copyright

© 2021. The Author(s).

Références

Lancet Infect Dis. 2021 Mar;21(3):298-299
pubmed: 33306982
Lancet Infect Dis. 2021 Mar;21(3):344-353
pubmed: 33306981
BMC Med. 2020 May 7;18(1):124
pubmed: 32375776
J Infect. 2021 Apr;82(4):67-74
pubmed: 33639175
Science. 2021 Apr 9;372(6538):
pubmed: 33658326
PLoS Comput Biol. 2020 Dec 10;16(12):e1008409
pubmed: 33301457
Epidemics. 2011 Jun;3(2):103-8
pubmed: 21624781
JAMA Pediatr. 2021 Feb 1;175(2):143-156
pubmed: 32975552
Euro Surveill. 2020 Jul;25(29):
pubmed: 32720636
Am J Epidemiol. 2006 Nov 15;164(10):936-44
pubmed: 16968863
Nat Med. 2020 Aug;26(8):1205-1211
pubmed: 32546824
PLoS Med. 2008 Mar 25;5(3):e74
pubmed: 18366252
Nat Commun. 2021 Mar 29;12(1):1942
pubmed: 33782396
Nature. 2021 Feb;590(7844):140-145
pubmed: 33137809
BMC Med. 2021 Jun 7;19(1):137
pubmed: 34092228
Euro Surveill. 2020 Aug;25(31):
pubmed: 32762797

Auteurs

James D Munday (JD)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK. James.Munday@lshtm.ac.uk.

Christopher I Jarvis (CI)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Amy Gimma (A)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Kerry L M Wong (KLM)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Kevin van Zandvoort (K)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Sebastian Funk (S)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

W John Edmunds (WJ)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH