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Efficacy of face coverings in reducing transmission of COVID-19: Calculations based on models of droplet capture.
Robinson, Joshua F; Rios de Anda, Ioatzin; Moore, Fergus J; Reid, Jonathan P; Sear, Richard P; Royall, C Patrick.
Afiliação
  • Robinson JF; H. H. Wills Physics Laboratory, University of Bristol, Bristol BS8 1TL, United Kingdom.
  • Reid JP; School of Chemistry, Cantock's Close, University of Bristol, Bristol BS8 1TS, United Kingdom.
  • Sear RP; Department of Physics, University of Surrey, Guildford GU2 7XH, United Kingdom.
Phys Fluids (1994) ; 33(4): 043112, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33953528
ABSTRACT
In the COVID-19 pandemic, among the more controversial issues is the use of masks and face coverings. Much of the concern boils down to the question-just how effective are face coverings? One means to address this question is to review our understanding of the physical mechanisms by which masks and coverings operate-steric interception, inertial impaction, diffusion, and electrostatic capture. We enquire as to what extent these can be used to predict the efficacy of coverings. We combine the predictions of the models of these mechanisms which exist in the filtration literature and compare the predictions with recent experiments and lattice Boltzmann simulations, and find reasonable agreement with the former and good agreement with the latter. Building on these results, we explore the parameter space for woven cotton fabrics to show that three-layered cloth masks can be constructed with comparable filtration performance to surgical masks under ideal conditions. Reusable cloth masks thus present an environmentally friendly alternative to surgical masks so long as the face seal is adequate enough to minimize leakage.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Phys Fluids (1994) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Phys Fluids (1994) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido