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Lai J, Coleman KK, Tai SHS, German J, Hong F, Albert B, Esparza Y, Rastogi D, Srikakulapu A, Kalliomäki P, Schanz M, Smith AA, Sierra Maldonado I, Oertel M, Fadul N, Gold TL, McPhaul K, Ma T, Cowling BJ, Milton DK. Relative efficacy of masks and respirators as source control for viral aerosol shedding from people infected with SARS-CoV-2: a controlled human exhaled breath aerosol experimental study. EBioMedicine 2024; 104:105157. [PMID: 38821778 PMCID: PMC11245760 DOI: 10.1016/j.ebiom.2024.105157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 06/02/2024] Open
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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Affiliation(s)
- Jianyu Lai
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Kristen K Coleman
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - S-H Sheldon Tai
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Jennifer German
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Filbert Hong
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Barbara Albert
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Yi Esparza
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Dewansh Rastogi
- Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, USA
| | - Aditya Srikakulapu
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Petri Kalliomäki
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Maria Schanz
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Alycia A Smith
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Isabel Sierra Maldonado
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Molly Oertel
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Naja Fadul
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - T Louie Gold
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Kathleen McPhaul
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - Benjamin J Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Donald K Milton
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA.
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Bennett WD, Prince SE, Zeman KL, Chen H, Samet JM. A novel method for the quantitative assessment of the fitted containment efficiency of face coverings. Infect Control Hosp Epidemiol 2023; 44:1481-1484. [PMID: 36912322 PMCID: PMC10507493 DOI: 10.1017/ice.2022.316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 03/14/2023]
Abstract
BACKGROUND Face masks reduce disease transmission by protecting the wearer from inhaled pathogens and reducing the emission of infectious aerosols. Although methods quantifying efficiency for wearer protection are established, current methods for assessing face mask containment efficiency rely on measurement of a low concentration of aerosols emitted from an infected or noninfected individual. METHODS A small port enabled the introduction of 0.05 µm sodium chloride particles at a constant rate behind the mask worn by a study participant. A condensation particle counter monitored ambient particle numbers 60 cm in front of the participant over 3-minute periods of rest, speaking, and coughing. The containment efficiency (%) for each mask and procedure was calculated as follows: 100 × (1 - average ambient concentration with face covering worn/average ambient concentration with a sham face covering in place). The protection efficiency (%) was also measured using previously published methods. The probability of transmission (%) from infected to uninfected (a function of both the containment efficiency and the protection efficiency) was calculated as follows: {1 - (containment efficiency/100)}×{1 - (protection efficiency/100)}×100. RESULTS The average containment efficiencies for each mask over all procedures and repeated measures were 94.6%, 60.9%, 38.8%, and 43.2%, respectively, for the N95 mask, the KN95 mask, the procedure face mask, and the gaiter. The corresponding protection efficiencies for each mask were 99.0%, 63.7%, 45.3%, and 24.2%, respectively. For example, the transmission probability for 1 infected and 1 uninfected individual in close proximity was ∼14.2% for KN95 masks, compared to 36%-39% when only 1 individual wore a KN95 mask. CONCLUSION Overall, we detected a good correlation between the protection and containment that a face covering afforded to a wearer.
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Affiliation(s)
- William D. Bennett
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steven E. Prince
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, North Carolina
| | - Kirby L. Zeman
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Hao Chen
- Oak Ridge Institute for Science Education, Oak Ridge, Tennessee
| | - James M. Samet
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, North Carolina
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Collings K, Boisdon C, Sham TT, Skinley K, Oh HK, Prince T, Ahmed A, Pennington SH, Brownridge PJ, Edwards T, Biagini GA, Eyers CE, Lamb A, Myers P, Maher S. Attaching protein-adsorbing silica particles to the surface of cotton substrates for bioaerosol capture including SARS-CoV-2. Nat Commun 2023; 14:5033. [PMID: 37596260 PMCID: PMC10439164 DOI: 10.1038/s41467-023-40696-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/07/2023] [Indexed: 08/20/2023] Open
Abstract
The novel coronavirus pandemic (COVID-19) has necessitated a global increase in the use of face masks to limit the airborne spread of the virus. The global demand for personal protective equipment has at times led to shortages of face masks for the public, therefore makeshift masks have become commonplace. The severe acute respiratory syndrome caused by coronavirus-2 (SARS-CoV-2) has a spherical particle size of ~97 nm. However, the airborne transmission of this virus requires the expulsion of droplets, typically ~0.6-500 µm in diameter (by coughing, sneezing, breathing, and talking). In this paper, we propose a face covering that has been designed to effectively capture SARS-CoV-2 whilst providing uncompromised comfort and breathability for the wearer. Herein, we describe a material approach that uses amorphous silica microspheres attached to cotton fibres to capture bioaerosols, including SARS CoV-2. This has been demonstrated for the capture of aerosolised proteins (cytochrome c, myoglobin, ubiquitin, bovine serum albumin) and aerosolised inactivated SARS CoV-2, showing average filtration efficiencies of ~93% with minimal impact on breathability.
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Affiliation(s)
- Kieran Collings
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
| | - Cedric Boisdon
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
| | - Tung-Ting Sham
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
| | - Kevin Skinley
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Hyun-Kyung Oh
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
| | - Tessa Prince
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Adham Ahmed
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Shaun H Pennington
- Centre for Drugs and Diagnostics, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Philip J Brownridge
- Centre for Proteome Research, Department of Biochemistry & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool, UK
| | - Thomas Edwards
- Centre for Drugs and Diagnostics, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Giancarlo A Biagini
- Centre for Drugs and Diagnostics, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Claire E Eyers
- Centre for Proteome Research, Department of Biochemistry & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool, UK
| | - Amanda Lamb
- Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
- Applied Health Insights Ltd, Cheshire, UK
| | - Peter Myers
- Department of Chemistry, University of Liverpool, Liverpool, UK.
| | - Simon Maher
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
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