International assessment results on non-NIOSH approved respirators by the national personal protective technology laboratory (NPPTL): a data note.

COVID-19 Filter resistance Filtration efficiency Leakage N95 respirator National institute for occupational safety & health (NIOSH) Respirator shortage TEB-APR-STP-0059 TSI Model 8130A The national personal protective technology laboratory (NPPTL)

Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 28 01 2024
accepted: 07 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 6 6 2024
Statut: epublish

Résumé

Due to the COVID-19 pandemic and the shortage of the National Institute for Occupational Safety & Health (NIOSH)-approved N95 respirators, the Food and Drug Administration granted an Emergency Use Authorization to allow the use of non-NIOSH approved respirators provided that these respirators must undergo tests by a protocol of TEB-APR-STP-0059, similar methods of NIOSH standard testing procedure. This initiative safeguards the quality of respirators and the effectiveness of occupational protection. The dataset of all the testing results could benefit further analysis of COVID-19 infection rates in relation to different types of N95 respirators used and identify potential correlations of various test parameters in the testing system for validation. The analysis enhances understanding of the quality, effectiveness, and performance of N95 respirators in the prevention of respiratory infectious transmission and develops improved occupational safety measures. The dataset was transformed, transcribed, and compiled from the official testing data of non-NIOSH-approved N95 respirators reported in the NIOSH website under the Centers for the Disease Control and Prevention in the United States. The dataset included details of 7,413 testing results of N95 respirators (manufacturer, model, and maximum and minimum filtration efficiency) and test parameters (flow rate, initial filter resistance, and initial percent leakage). Supplementary items were added to increase the availability of data analysis and enhance the interpretability of the assessments of the quality of N95 respirators.

Identifiants

pubmed: 38845062
doi: 10.1186/s13104-024-06800-0
pii: 10.1186/s13104-024-06800-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

156

Informations de copyright

© 2024. The Author(s).

Références

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Tsui KY, Lam SC. Quality Assessment Results on NIOSH Non-approved Respirator Dataset: Filter resistance, maximum percentage leakage, and maximum filter efficiency. Mendeley Data; 2024 [cited 2024 Jan 19]. https://doi.org/10.17632/k8236t72h7.1

Auteurs

Kwai Yu Tsui (KY)

School of Nursing, Tung Wah College, 31 Wylie Road, Homantin, Kowloon, Hong Kong SAR, China.

Yu Wang (Y)

School of Nursing, Tung Wah College, 31 Wylie Road, Homantin, Kowloon, Hong Kong SAR, China.
Nursing Department, Affiliated Hospital of Zunyi Medical University, Guizhou Province, China.
School of Nursing, Zunyi Medical University, Guizhou Province, China.

Simon Ching Lam (SC)

School of Nursing, Tung Wah College, 31 Wylie Road, Homantin, Kowloon, Hong Kong SAR, China. simlc@alumni.cuhk.net.

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