Literature DB >> 30229968

Modeling the Effectiveness of Respiratory Protective Devices in Reducing Influenza Outbreak.

Jing Yan1,2, Suvajyoti Guha2, Prasanna Hariharan2, Matthew Myers2.   

Abstract

Outbreaks of influenza represent an important health concern worldwide. In many cases, vaccines are only partially successful in reducing the infection rate, and respiratory protective devices (RPDs) are used as a complementary countermeasure. In devising a protection strategy against influenza for a given population, estimates of the level of protection afforded by different RPDs is valuable. In this article, a risk assessment model previously developed in general form was used to estimate the effectiveness of different types of protective equipment in reducing the rate of infection in an influenza outbreak. It was found that a 50% compliance in donning the device resulted in a significant (at least 50% prevalence and 20% cumulative incidence) reduction in risk for fitted and unfitted N95 respirators, high-filtration surgical masks, and both low-filtration and high-filtration pediatric masks. An 80% compliance rate essentially eliminated the influenza outbreak. The results of the present study, as well as the application of the model to related influenza scenarios, are potentially useful to public health officials in decisions involving resource allocation or education strategies.
© 2018 Society for Risk Analysis.

Keywords:  Infection control; influenza epidemic model; personal protective equipment

Mesh:

Substances:

Year:  2018        PMID: 30229968     DOI: 10.1111/risa.13181

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  7 in total

1.  Compliance with wearing facemasks by university teaching staff during the second wave of COVID-19 pandemic: a cross sectional study.

Authors:  Mostafa Yosef; Fatma Amr Gamil Mokhtar; Wafaa Mohamed Hussein
Journal:  Discov Soc Sci Health       Date:  2022-06-20

Review 2.  Review of the Breathability and Filtration Efficiency of Common Household Materials for Face Masks.

Authors:  Laura H Kwong; Rob Wilson; Shailabh Kumar; Yoshika Susan Crider; Yasmin Reyes Sanchez; David Rempel; Ajay Pillarisetti
Journal:  ACS Nano       Date:  2021-04-06       Impact factor: 15.881

3.  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

Review 4.  An evidence review of face masks against COVID-19.

Authors:  Jeremy Howard; Austin Huang; Zhiyuan Li; Zeynep Tufekci; Vladimir Zdimal; Helene-Mari van der Westhuizen; Arne von Delft; Amy Price; Lex Fridman; Lei-Han Tang; Viola Tang; Gregory L Watson; Christina E Bax; Reshama Shaikh; Frederik Questier; Danny Hernandez; Larry F Chu; Christina M Ramirez; Anne W Rimoin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-26       Impact factor: 12.779

Review 5.  The perspective of fluid flow behavior of respiratory droplets and aerosols through the facemasks in context of SARS-CoV-2.

Authors:  Sanjay Kumar; Heow Pueh Lee
Journal:  Phys Fluids (1994)       Date:  2020-11-01       Impact factor: 3.521

6.  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

7.  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

  7 in total

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