Evidence map›Paper›PMID 34503493›Full record

ArticleBMC medicine2021

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

James D Munday, Christopher I Jarvis, Amy Gimma, Kerry L M Wong, Kevin van Zandvoort, CMMID COVID-19 Working Group, Sebastian Funk, W John Edmunds

Abstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Measures implemented in the school setting to contain the COVID-19 pandemic.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

James D Munday *Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK. James.Munday@lshtm.ac.uk.ORCID 0000-0002-6206-7134
Christopher I Jarvis *Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Amy GimmaCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Kerry L M WongCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Kevin van ZandvoortCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
CMMID COVID-19 Working Group
Sebastian FunkCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
W John EdmundsCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Medical Research Council MC_PC_19065Medical Research Council MR/S003975/1Wellcome Trust 206471/Z/17/ZWellcome Trust 210758/Z/18/Z
6 · The paper itself

Abstract

backgroundSchools 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.

methodsWe 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.

resultsOur 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.

conclusionOur 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.

Indexed as

COVID-19SARS-CoV-2AdultChildCommunicable Disease ControlEnglandHumansReproductionSchoolsCoMixCOVID-19Reproduction numberSARS-CoV-2School closureSocial contacts

Identifiers

PMID34503493
PMCPMC8428960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.