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10.1590/1807-3107bor-2020.vol34.0123

http://scihub22266oqcxt.onion/10.1590/1807-3107bor-2020.vol34.0123
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33146319!ä!33146319

suck abstract from ncbi


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pmid33146319      Braz+Oral+Res 2020 ; 34 (ä): e123
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  • Are cloth masks a substitute to medical masks in reducing transmission and contamination? A systematic review #MMPMID33146319
  • Santos M; Torres D; Cardoso PC; Pandis N; Flores-Mir C; Medeiros R; Normando AD
  • Braz Oral Res 2020[]; 34 (ä): e123 PMID33146319show ga
  • During the COVID-19 pandemic the use of cloth masks has increased dramatically due to the shortage of medical masks. However, the efficiency of this material is controversial. We aimed to investigate the efficiency of cloth masks in reducing transmission and contamination by droplets and aerosols for the general population and healthcare workers. Electronic databases were searched without year or language restrictions. Clinical and laboratorial studies were included. The risk of bias (RoB) was assessed using an adapted quality checklist for laboratory-based studies. ROBINS-I tool and Cochrane RoB 2.0 were used to evaluate non-randomized (n-RCT) and randomized clinical trials (RCT), respectively. The quality of the evidence was assessed through GRADE tool. From the eleven studies selected, eight were laboratory-based studies, one non-randomized and one RCT supported by laboratory data. Between the evaluated fabrics only three presented a filtration efficiency > 90%. Hybrid of cotton/chiffon (95%CI 95.2 to 98.8), hybrid of cotton/silk (95%CI 92.2 to 95.8) and cotton quilt (95%CI 94.2 to 97.8). However, cloth masks are not recommended for healthcare workers. A meta-analysis was not feasible due to a high methodological heterogeneity. The overall quality of evidence ranged from very low to moderate. Despite the lower efficiency compared to medical masks, laboratorial results may underestimate the efficiency of cloth masks in real life. Cloth mask efficiency is higher when made of hybrid fabrics (cotton/chiffon, cotton/silk) and cotton quilt, mainly with multiple layers.
  • |*Betacoronavirus[MESH]
  • |*Coronavirus Infections[MESH]
  • |*Masks[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |COVID-19[MESH]
  • |Humans[MESH]


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