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Comparing the fit of N95, KN95, surgical, and cloth face masks and assessing the accuracy of fit checking
- Source :
- PLoS ONE, Vol 16, Iss 1, p e0245688 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
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.
- Subjects :
- Male
Viral Diseases
business.product_category
Epidemiology
Computer science
Fit testing
Engineering and technology
030312 virology
030501 epidemiology
computer.software_genre
Respirators
Biochemistry
Rendering (computer graphics)
Fats
Medical Conditions
Statistics
Respirator
Virus Testing
0303 health sciences
Multidisciplinary
Textiles
Masks
Middle Aged
Lipids
Face masks
Infectious Diseases
Medicine
Female
Anatomy
0305 other medical science
Biotechnology
Research Article
Adult
Coronavirus disease 2019 (COVID-19)
Adolescent
N95 Respirators
Science
Bioengineering
Nose
Machine learning
03 medical and health sciences
Young Adult
Diagnostic Medicine
Occupational Exposure
Humans
Poor correlation
Pandemics
Aged
Medicine and health sciences
Biology and life sciences
business.industry
SARS-CoV-2
COVID-19
Covid 19
FOS: Engineering and technology
Health Care
Surgical mask
Health Care Facilities
Face
Medical Devices and Equipment
Artificial intelligence
business
Head
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- PLoS ONE, Vol 16, Iss 1, p e0245688 (2021), PLoS ONE
- Accession number :
- edsair.doi.dedup.....60d758de64ac3b70168bfd6d6de47068