Literature DB >> 26022658

Effectiveness of facemasks for pediatric populations against submicron-sized aerosols.

Suvajyoti Guha1, Andrés Mejía-Alfaro2, Prasanna Hariharan2, Matthew R Myers2.   

Abstract

BACKGROUND: In the event of a public-health threat involving bioaerosols, such as a terrorist attack or pandemic, options for devices to protect the pediatric population are limited. One strategy involves deployment of facemasks meant for the pediatric population, although protection against bioaerosols was not an intended use of such masks and little is known about their effectiveness.
METHODS: We chose 3 brands of facemasks for pediatric use for characterizing penetration. To validate our experimental technique, 2 N95 respirator brands were also tested. All barriers were subjected to neutralized polydispersed sodium chloride aerosols, and their intrinsic penetration was evaluated in the submicron size range at different flow rates.
RESULTS: As expected, the N95 brands had low penetration (5% or less) at the highest flow rates. However, for the facemasks for pediatric use, penetration varied significantly amongst brands at the highest flow rates (~15%->50%). Studies with isopropanol-dipped respirators and facemasks demonstrated that not all brands of facemasks for pediatric use have electret layers.
CONCLUSIONS: Our bench tests suggest that the intrinsic penetration through facemasks for pediatric use can be high in the submicron size range. These data can be used in risk-assessment models to determine the extent to which facemasks for pediatric use reduce the likelihood of infection in emergency situations.
Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. All rights reserved.

Entities:  

Keywords:  Bioterror; N95; Pandemics; Respirators; Surgical masks

Mesh:

Substances:

Year:  2015        PMID: 26022658     DOI: 10.1016/j.ajic.2015.03.032

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  3 in total

1.  A computational model for predicting changes in infection dynamics due to leakage through N95 respirators.

Authors:  Prasanna Hariharan; Neha Sharma; Suvajyoti Guha; Rupak K Banerjee; Gavin D'Souza; Matthew R Myers
Journal:  Sci Rep       Date:  2021-05-21       Impact factor: 4.996

2.  Face Mask Use in the Community for Reducing the Spread of COVID-19: A Systematic Review.

Authors:  Daniela Coclite; Antonello Napoletano; Silvia Gianola; Andrea Del Monaco; Daniela D'Angelo; Alice Fauci; Laura Iacorossi; Roberto Latina; Giuseppe La Torre; Claudio M Mastroianni; Cristina Renzi; Greta Castellini; Primiano Iannone
Journal:  Front Med (Lausanne)       Date:  2021-01-12

3.  SEIR Model to address the impact of face masks amid COVID-19 pandemic.

Authors:  Ahmed Maged; Abdullah Ahmed; Salah Haridy; Arthur W Baker; Min Xie
Journal:  Risk Anal       Date:  2022-06-15       Impact factor: 4.302

  3 in total

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