Literature DB >> 33481870

Comparing the fit of N95, KN95, surgical, and cloth face masks and assessing the accuracy of fit checking.

Eugenia O'Kelly1, Anmol Arora1, Sophia Pirog2, James Ward1, P John Clarkson1.   

Abstract

INTRODUCTION: The COVID-19 pandemic has made well-fitting face masks a critical piece of protective equipment for healthcare workers and civilians. While the importance of wearing face masks has been acknowledged, there remains a lack of understanding about the role of good fit in rendering protective equipment useful. In addition, supply chain constraints have caused some organizations to abandon traditional quantitative or/and qualitative fit testing, and instead, have implemented subjective fit checking. Our study seeks to quantitatively evaluate the level of fit offered by various types of masks, and most importantly, assess the accuracy of implementing fit checks by comparing fit check results to quantitative fit testing results.
METHODS: Seven participants first evaluated N95 and KN95 respirators by performing a fit check. Participants then underwent quantitative fit testing wearing five N95 respirators, a KN95 respirator, a surgical mask, and fabric masks.
RESULTS: N95 respirators offered higher degrees of protection than the other categories of masks tested; however, it should be noted that most N95 respirators failed to fit the participants adequately. Fit check responses had poor correlation with quantitative fit factor scores. KN95, surgical, and fabric masks achieved low fit factor scores, with little protective difference recorded between respiratory protection options. In addition, small facial differences were observed to have a significant impact on quantitative fit.
CONCLUSION: Fit is critical to the level of protection offered by respirators. For an N95 respirator to provide the promised protection, it must fit the participant. Performing a fit check via NHS self-assessment guidelines was an unreliable way of determining fit.

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Year:  2021        PMID: 33481870      PMCID: PMC7822328          DOI: 10.1371/journal.pone.0245688

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  7 in total

1.  Effect of fit testing on the protection offered by n95 filtering facepiece respirators against fine particles in a laboratory setting.

Authors:  Tiina Reponen; Shu-An Lee; Sergey A Grinshpun; Erik Johnson; Roy McKay
Journal:  Ann Occup Hyg       Date:  2010-12-20

2.  Clearing the air: do facemasks protect health?

Authors:  Aaron van Dorn
Journal:  Lancet Respir Med       Date:  2017-07       Impact factor: 30.700

3.  Common materials for emergency respiratory protection: leakage tests with a manikin.

Authors:  D W Cooper; W C Hinds; J M Price; R Weker; H S Yee
Journal:  Am Ind Hyg Assoc J       Date:  1983-10

4.  Correlation of qualitative and quantitative results from testing respirator fit.

Authors:  K E Hardis; C A Cadena; G J Carlson; R A da Roza; B J Held
Journal:  Am Ind Hyg Assoc J       Date:  1983-02

5.  A cluster randomized clinical trial comparing fit-tested and non-fit-tested N95 respirators to medical masks to prevent respiratory virus infection in health care workers.

Authors:  Chandini Raina MacIntyre; Quanyi Wang; Simon Cauchemez; Holly Seale; Dominic E Dwyer; Peng Yang; Weixian Shi; Zhanhai Gao; Xinghuo Pang; Yi Zhang; Xiaoli Wang; Wei Duan; Bayzidur Rahman; Neil Ferguson
Journal:  Influenza Other Respir Viruses       Date:  2011-01-27       Impact factor: 4.380

6.  Sensitivity and specificity of the user-seal-check in determining the fit of N95 respirators.

Authors:  S C Lam; J K L Lee; S Y Yau; C Y C Charm
Journal:  J Hosp Infect       Date:  2011-01-13       Impact factor: 3.926

7.  Surgical mask filter and fit performance.

Authors:  Tara Oberg; Lisa M Brosseau
Journal:  Am J Infect Control       Date:  2008-05       Impact factor: 2.918

  7 in total
  19 in total

1.  Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19.

Authors:  Ricardo Mar-Cupido; Vicente García; Gilberto Rivera; J Salvador Sánchez
Journal:  Appl Soft Comput       Date:  2022-06-23       Impact factor: 8.263

2.  Aging of 3D Printed Polymers under Sterilizing UV-C Radiation.

Authors:  Catalin Gheorghe Amza; Aurelian Zapciu; Florin Baciu; Mihai Ion Vasile; Diana Popescu
Journal:  Polymers (Basel)       Date:  2021-12-20       Impact factor: 4.329

3.  Bridge the gap: correlate face mask leakage and facial features with 3D morphable face models.

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Journal:  J Expo Sci Environ Epidemiol       Date:  2021-11-05       Impact factor: 6.371

4.  A study on usability and design parameters in face mask: Concept design of UVW face mask for COVID-19 protection.

Authors:  Bahram Ipaki; Zahra Merrikhpour; Mohammad S Taheri Rizi; Saman Torkashvand
Journal:  Hum Factors Ergon Manuf       Date:  2021-08-31       Impact factor: 1.722

5.  Evaluation of Aerosol Particle Leak and Standard Surgical Mask Fit With 3 Elastomeric Harness Designs.

Authors:  Jeannette Ingabire; Hannah McKenney; Charles Sebesta; Krishna Badhiwala; Caleb Kemere; Sahil Kapur; Jacob T Robinson
Journal:  JAMA Netw Open       Date:  2022-01-04

6.  One size fits all?: A simulation framework for face-mask fit on population-based faces.

Authors:  Tomas Solano; Rajat Mittal; Kourosh Shoele
Journal:  PLoS One       Date:  2021-06-16       Impact factor: 3.240

7.  What is suitable social distancing for people wearing face masks during the COVID-19 pandemic?

Authors:  Zhipeng Deng; Qingyan Chen
Journal:  Indoor Air       Date:  2021-10-04       Impact factor: 6.554

8.  Face mask fit hacks: Improving the fit of KN95 masks and surgical masks with fit alteration techniques.

Authors:  Eugenia O'Kelly; Anmol Arora; Sophia Pirog; Charlotte Pearson; James Ward; P John Clarkson
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240

9.  Design considerations for protective mask development: A remote mask usability evaluation.

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Journal:  Appl Ergon       Date:  2022-03-24       Impact factor: 3.940

10.  Submicronic Filtering Media Based on Electrospun Recycled PET Nanofibers: Development, Characterization, and Method to Manufacture Surgical Masks.

Authors:  Marta Baselga-Lahoz; Cristina Yus; Manuel Arruebo; Víctor Sebastián; Silvia Irusta; Santiago Jiménez
Journal:  Nanomaterials (Basel)       Date:  2022-03-11       Impact factor: 5.076

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