Evidence map›Paper›PMID 35639701›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Mask wearing in community settings reduces SARS-CoV-2 transmission.

Gavin Leech, Charlie Rogers-Smith, Joshua Teperowski Monrad, Jonas B Sandbrink, Benedict Snodin, Robert Zinkov, Benjamin Rader, John S Brownstein, Yarin Gal, Samir Bhatt and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

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

  1. Pooled it
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  3. Pooled it
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  6. Article
  7. Risks and benefits of face masks in children.Frontiers in pediatrics · 2026
    Review
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  19. The Effectiveness of Face Mask Mandates on COVID-19 Transmission in Utah.Public health reports (Washington, D.C. : 1974) · 2024
    Article
  20. Article
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

14 authors.

Gavin LeechDepartment of Computer Science, University of Bristol, Bristol BS8 1TH, United Kingdom.ORCID 0000-0002-9298-1488
Charlie Rogers-SmithExternal collaborator to Oxford Applied and Theoretical Machine Learning Group, University of Oxford, Oxford OX1 2JD, United Kingdom.
Joshua Teperowski MonradFuture of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
Jonas B SandbrinkFuture of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
Benedict SnodinFuture of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.ORCID 0000-0003-4804-2480
Robert ZinkovDepartment of Computer Science, University of Oxford, Oxford OX1 2JD, United Kingdom.
Benjamin RaderComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA 02215.ORCID 0000-0002-6095-0193
John S BrownsteinDepartment of Pediatrics, Harvard Medical School, Boston, MA 02115.
Yarin GalOxford Applied and Theoretical Machine Learning Group, Department of Computer Science, University of Oxford, Oxford OX1 2JD, United Kingdom.
Samir BhattDepartment of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark.
Mrinank SharmaFuture of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
Sören MindermannOxford Applied and Theoretical Machine Learning Group, Department of Computer Science, University of Oxford, Oxford OX1 2JD, United Kingdom.ORCID 0000-0002-0315-9821
Jan M BraunerFuture of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
Laurence AitchisonDepartment of Computer Science, University of Bristol, Bristol BS8 1TH, United Kingdom.

Funding

Cancer Research UKMedical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/V038109/1
6 · The paper itself

Abstract

The effectiveness of mask wearing at controlling severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission has been unclear. While masks are known to substantially reduce disease transmission in healthcare settings [D. K. Chu et al., Lancet 395, 1973–1987 (2020); J. Howard et al., Proc. Natl. Acad. Sci. U.S.A. 118, e2014564118 (2021); Y. Cheng et al., Science eabg6296 (2021)], studies in community settings report inconsistent results [H. M. Ollila et al., medRxiv (2020); J. Brainard et al., Eurosurveillance 25, 2000725 (2020); T. Jefferson et al., Cochrane Database Syst. Rev. 11, CD006207 (2020)]. Most such studies focus on how masks impact transmission, by analyzing how effective government mask mandates are. However, we find that widespread voluntary mask wearing, and other data limitations, make mandate effectiveness a poor proxy for mask-wearing effectiveness. We directly analyze the effect of mask wearing on SARS-CoV-2 transmission, drawing on several datasets covering 92 regions on six continents, including the largest survey of wearing behavior (n= 20 million) [F. Kreuter et al., https://gisumd.github.io/COVID-19-API-Documentation (2020)]. Using a Bayesian hierarchical model, we estimate the effect of mask wearing on transmission, by linking reported wearing levels to reported cases in each region, while adjusting for mobility and nonpharmaceutical interventions (NPIs), such as bans on large gatherings. Our estimates imply that the mean observed level of mask wearing corresponds to a 19% decrease in the reproduction number R. We also assess the robustness of our results in 60 tests spanning 20 sensitivity analyses. In light of these results, policy makers can effectively reduce transmission by intervening to increase mask wearing.

Indexed as

COVID-19MasksHumansPublic PolicySurveys and QuestionnairesBayesian modelingCOVID-19epidemiologyface maskshierarchical modeling

Identifiers

PMID35639701
PMCPMC9191667

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.