AI Article Synopsis

  • Tight-fitting masks and respirators are more effective than loose-fitting masks for controlling aerosol spread based on prior studies, but their real-world effectiveness in humans was unknown.
  • In a study with 44 COVID-19 volunteers, various mask types (cloth, surgical, KN95, N95) were tested for their ability to reduce exhaled viral load, showing that all types significantly lowered the viral emissions.
  • The duckbill N95 mask was the most effective, reducing viral load by 98%, suggesting N95 respirators should be standard in settings like nursing homes during viral outbreaks due to their superior performance.

Article Abstract

Background: Tight-fitting masks and respirators, in manikin studies, improved aerosol source control compared to loose-fitting masks. Whether this translates to humans is not known.

Methods: We compared efficacy of masks (cloth and surgical) and respirators (KN95 and N95) as source control for SARS-CoV-2 viral load in exhaled breath of volunteers with COVID-19 using a controlled human experimental study. Volunteers (N = 44, 43% female) provided paired unmasked and masked breath samples allowing computation of source-control factors.

Findings: All masks and respirators significantly reduced exhaled viral load, without fit tests or training. A duckbill N95 reduced exhaled viral load by 98% (95% CI: 97%-99%), and significantly outperformed a KN95 (p < 0.001) as well as cloth and surgical masks. Cloth masks outperformed a surgical mask (p = 0.027) and the tested KN95 (p = 0.014).

Interpretation: These results suggest that N95 respirators could be the standard of care in nursing homes and healthcare settings when respiratory viral infections are prevalent in the community and healthcare-associated transmission risk is elevated.

Funding: Defense Advanced Research Projects Agency, National Institute of Allergy and Infectious Diseases, Centers for Disease Control and Prevention, the Bill & Melinda Gates Foundation, and The Flu Lab.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11245760PMC
http://dx.doi.org/10.1016/j.ebiom.2024.105157DOI Listing

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