LAUSR

Quantitative fit testing of filtering face-piece respirators during the COVID-19 pandemic reveals anthropometric deficits in most respirators available in Iran

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0 Published in 2021 at "Journal of Environmental Health Science and Engineering"

DOI: 10.1007/s40201-021-00648-3

Abstract: Frontline health care workers (HCWs) must wear a standard N95 or FFP2 respirator during worldwide pandemics of respiratory diseases including COVID-19 to protect against airborne infectious pathogens when performing care activities. This study aimed to… read more here.

Keywords: respirator; fit testing; face; covid pandemic ... See more keywords

Quantitative Fit Evaluation of N95 Filtering Facepiece Respirators and Coronavirus Inactivation Following Heat Treatment

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0 Published in 2021 at "Annals of Work Exposures and Health"

DOI: 10.1093/annweh/wxab020

Abstract: Abstract Reuse of filtering facepiece respirators (FFRs, commonly referred to as N95s) normally meant for single use has become common in healthcare facilities due to shortages caused by the COVID-19 pandemic. Here, we report that… read more here.

Keywords: heat treatment; filtering facepiece; heat; facepiece respirators ... See more keywords

249c - Quantitative fit testing of health care workers in the Western Cape Province, South Africa in the SARS-CoV-2 pandemic

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0 Published in 2024 at "Annals of Work Exposures and Health"

DOI: 10.1093/annweh/wxae035.169

Abstract: COVID-19 is a disease caused primarily by the SARS-CoV-2 virus aerosols entering the respiratory system. Quantitative fit-testing of filtering face-piece respirators is a primary and validated means for protecting workers who are often in constant… read more here.

Keywords: sars cov; quantitative fit; fit testing; care ... See more keywords

SafeRespirator: Comprehensive Database for N95 Filtering Facepiece Respirator Leakage Detection Including Infrared, RGB Videos, and Quantitative Fit Testing

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0 Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2024.3522562

Abstract: The COVID-19 pandemic underscored the challenges of performing mandatory Quantitative Fit Tests (QNFT) for healthcare professionals and the limitations of self-administered fit checks. To address this, it is crucial to develop faster and more efficient… read more here.

Keywords: detection; database; leakage; quantitative fit ... See more keywords