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An evidence review of face masks against COVID-19.
Howard, Jeremy; Huang, Austin; Li, Zhiyuan; Tufekci, Zeynep; Zdimal, Vladimir; van der Westhuizen, Helene-Mari; von Delft, Arne; Price, Amy; Fridman, Lex; Tang, Lei-Han; Tang, Viola; Watson, Gregory L; Bax, Christina E; Shaikh, Reshama; Questier, Frederik; Hernandez, Danny; Chu, Larry F; Ramirez, Christina M; Rimoin, Anne W.
  • Howard J; fast.ai, San Francisco, CA 94105; jphoward@usfca.edu.
  • Huang A; Data Institute, University of San Francisco, San Francisco, CA 94105.
  • Li Z; Warren Alpert School of Medicine, Brown University, Providence, RI 02903.
  • Tufekci Z; Center for Quantitative Biology, Peking University, Beijing 100871, China.
  • Zdimal V; School of Information, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
  • van der Westhuizen HM; Institute of Chemical Process Fundamentals, Czech Academy of Sciences, CZ-165 02 Praha 6, Czech Republic.
  • von Delft A; Department of Primary Health Care Sciences, University of Oxford, Oxford OX2 6GG, United Kingdom.
  • Price A; TB Proof, Cape Town 7130, South Africa.
  • Fridman L; TB Proof, Cape Town 7130, South Africa.
  • Tang LH; School of Public Health and Family Medicine, University of Cape Town, Cape Town 7925, South Africa.
  • Tang V; Anesthesia Informatics and Media Lab, School of Medicine, Stanford University, Stanford, CA 94305.
  • Watson GL; Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Bax CE; Department of Physics, Hong Kong Baptist University, Hong Kong SAR, China.
  • Shaikh R; Complex Systems Division, Beijing Computational Science Research Center, Beijing 100193, China.
  • Questier F; Department of Information Systems, Business Statistics and Operations Management, Hong Kong University of Science and Technology, Hong Kong SAR, China.
  • Hernandez D; Department of Biostatistics, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA 90095.
  • Chu LF; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
  • Ramirez CM; Data Umbrella, New York, NY 10031.
  • Rimoin AW; Teacher Education Department, Vrije Universiteit Brussel, 1050 Brussels, Belgium.
Proc Natl Acad Sci U S A ; 118(4)2021 01 26.
Article in English | MEDLINE | ID: covidwho-1023990
ABSTRACT
The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage mask wearing by infectious people ("source control") with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / SARS-CoV-2 / COVID-19 / Masks Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / SARS-CoV-2 / COVID-19 / Masks Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Year: 2021 Document Type: Article