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Face masks to prevent transmission of COVID-19: a systematic review and meta-analysis
Yanni Li; Mingming Liang; Liang Gao; Mubashir Ayaz Ahmed; John Patrick Uy; Ce Cheng; Qin Zhou; Chenyu Sun.
Afiliação
  • Yanni Li; Affiliated Hhospital of Shaoxing University
  • Mingming Liang; Anhui medical university
  • Liang Gao; Saarland University Medical Center
  • Mubashir Ayaz Ahmed; AMITA Health Saint Joseph Hospital Chicago
  • John Patrick Uy; AMITA Health Saint Joseph Hospital Chicago
  • Ce Cheng; The University of Arizona College of Medicine at South Campus
  • Qin Zhou; Mayo clinic
  • Chenyu Sun; AMITA Health Saint Joseph Hospital Chicago
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20214171
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ABSTRACT
BackgroundBased on the current status of the COVID-19 global pandemic, there is an urgent need to systematically evaluate the effectiveness of wearing masks to protect public health from COVID-19 infection. MethodsWe conducted a systematic review and meta-analysis to evaluate the effectiveness of using face masks to prevent the spread of SARS-CoV-2. Relevant articles were retrieved from PubMed, Web of Science, ScienceDirect, Cochrane Library, and Chinese National Knowledge Infrastructure (CNKI), VIP (Chinese) database. There were no language restrictions. This study was registered with PROSPERO under the number CRD42020211862. ResultsA total of 6 case-control studies were included. In general, wearing a mask was associated with a significantly reduced risk of COVID-19 infection (OR = 0.38, 95% CI = 0.21-0.69, I2 = 54.1%). Heterogeneity modifiers were investigated by subgroup analysis. For healthcare workers group, masks were shown to have a reduce risk of infection by nearly 70%. Studies in China showed a higher protective effect than other countries. Adjusted estimates and subgroup analyses showed similar findings. ConclusionsThe results of this systematic review and meta-analysis support the conclusion that wearing a mask could reduce the risk of COVID-19 infection.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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