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Mask wearing in community settings reduces SARS-CoV-2 transmission.
Leech, Gavin; Rogers-Smith, Charlie; Monrad, Joshua Teperowski; Sandbrink, Jonas B; Snodin, Benedict; Zinkov, Robert; Rader, Benjamin; Brownstein, John S; Gal, Yarin; Bhatt, Samir; Sharma, Mrinank; Mindermann, Sören; Brauner, Jan M; Aitchison, Laurence.
Afiliación
  • Leech G; Department of Computer Science, University of Bristol, Bristol BS8 1TH, United Kingdom.
  • Rogers-Smith C; External collaborator to Oxford Applied and Theoretical Machine Learning Group, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Monrad JT; Future of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Sandbrink JB; Future of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Snodin B; Medical Sciences Division, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Zinkov R; Future of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Rader B; Department of Computer Science, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Brownstein JS; Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA 02215.
  • Gal Y; Department of Pediatrics, Harvard Medical School, Boston, MA 02115.
  • Bhatt S; Oxford Applied and Theoretical Machine Learning Group, Department of Computer Science, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Sharma M; Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark.
  • Mindermann S; Medical Research Council Centre for Global Infectious Disease Analysis, Imperial College London, London SW7 2BX, United Kingdom.
  • Brauner JM; Future of Humanity Institute, University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Aitchison L; Department of Statistics, University of Oxford, Oxford OX1 2JD, United Kingdom.
Proc Natl Acad Sci U S A ; 119(23): e2119266119, 2022 06 07.
Article en En | MEDLINE | ID: mdl-35639701
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, 1973­1987 (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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 / Máscaras Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 / Máscaras Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos