A comparison of performance metrics for cloth masks as source control devices for simulated cough and exhalation aerosols
Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistan...
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| Veröffentlicht in: | Aerosol science and technology Jg. 55; H. 10; S. 1125 - 1142 |
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Taylor & Francis
03.10.2021
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| Abstract | Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistance, and manikin or human fit factors, which are standard metrics used for personal protective devices. However, none of these metrics are direct measurements of how effectively a mask blocks coughed and exhaled aerosols. We studied the source control performance of 15 cloth masks (face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators by measuring their ability to block aerosols ≤7 µm expelled during simulated coughing and exhalation (called source control collection efficiency). These measurements were compared with filtration efficiencies, airflow resistances, and fit factors measured on manikin headforms and humans. Collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. Filtration efficiencies for the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on headforms and 1.0 to 4.0 on human subjects. The Spearman's rank correlation coefficients between the source control collection efficiencies and the standard metrics ranged from 0.03 to 0.68 and were significant in all but two cases. However, none of the standard metrics were strongly correlated with source control performance. A better understanding of the relationships between source control collection efficiency, filtration efficiency, airflow resistance, and fit factor is needed. |
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| AbstractList | Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistance, and manikin or human fit factors, which are standard metrics used for personal protective devices. However, none of these metrics are direct measurements of how effectively a mask blocks coughed and exhaled aerosols. We studied the source control performance of 15 cloth masks (face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators by measuring their ability to block aerosols ≤ 7 μm expelled during simulated coughing and exhalation (called source control collection efficiency). These measurements were compared with filtration efficiencies, airflow resistances, and fit factors measured on manikin headforms and humans. Collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. Filtration efficiencies for the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on headforms and 1.0 to 4.0 on human subjects. The Spearman's rank correlation coefficients between the source control collection efficiencies and the standard metrics ranged from 0.03 to 0.68 and were significant in all but two cases. However, none of the standard metrics were strongly correlated with source control performance. A better understanding of the relationships between source control collection efficiency, filtration efficiency, airflow resistance, and fit factor is needed.Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistance, and manikin or human fit factors, which are standard metrics used for personal protective devices. However, none of these metrics are direct measurements of how effectively a mask blocks coughed and exhaled aerosols. We studied the source control performance of 15 cloth masks (face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators by measuring their ability to block aerosols ≤ 7 μm expelled during simulated coughing and exhalation (called source control collection efficiency). These measurements were compared with filtration efficiencies, airflow resistances, and fit factors measured on manikin headforms and humans. Collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. Filtration efficiencies for the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on headforms and 1.0 to 4.0 on human subjects. The Spearman's rank correlation coefficients between the source control collection efficiencies and the standard metrics ranged from 0.03 to 0.68 and were significant in all but two cases. However, none of the standard metrics were strongly correlated with source control performance. A better understanding of the relationships between source control collection efficiency, filtration efficiency, airflow resistance, and fit factor is needed. Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistance, and manikin or human fit factors, which are standard metrics used for personal protective devices. However, none of these metrics are direct measurements of how effectively a mask blocks coughed and exhaled aerosols. We studied the source control performance of 15 cloth masks (face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators by measuring their ability to block aerosols ≤7 µm expelled during simulated coughing and exhalation (called source control collection efficiency). These measurements were compared with filtration efficiencies, airflow resistances, and fit factors measured on manikin headforms and humans. Collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. Filtration efficiencies for the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on headforms and 1.0 to 4.0 on human subjects. The Spearman's rank correlation coefficients between the source control collection efficiencies and the standard metrics ranged from 0.03 to 0.68 and were significant in all but two cases. However, none of the standard metrics were strongly correlated with source control performance. A better understanding of the relationships between source control collection efficiency, filtration efficiency, airflow resistance, and fit factor is needed. Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment (called source control) and offer some protection to the wearer. Masks are often characterized using filtration efficiency, airflow resistance, and manikin or human fit factors, which are standard metrics used for personal protective devices. However, none of these metrics are direct measurements of how effectively a mask blocks coughed and exhaled aerosols. We studied the source control performance of 15 cloth masks (face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators by measuring their ability to block aerosols ≤ 7 μm expelled during simulated coughing and exhalation (called source control collection efficiency). These measurements were compared with filtration efficiencies, airflow resistances, and fit factors measured on manikin headforms and humans. Collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. Filtration efficiencies for the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on headforms and 1.0 to 4.0 on human subjects. The Spearman's rank correlation coefficients between the source control collection efficiencies and the standard metrics ranged from 0.03 to 0.68 and were significant in all but two cases. However, none of the standard metrics were strongly correlated with source control performance. A better understanding of the relationships between source control collection efficiency, filtration efficiency, airflow resistance, and fit factor is needed. |
| Author | Lindsley, William G. Coyle, Jayme Nurkiewicz, Timothy Boots, Theresa Harris, James R. Noti, John D. Derk, Raymond C. Hettick, Justin M. Law, Brandon F. Duling, Matthew G. Blachere, Francoise M. Woodfork, Karen Beezhold, Donald H. Boutin, Brenda Goldsmith, William T. |
| AuthorAffiliation | b Department of Physiology and Pharmacology, West Virginia University School of Medicine, Morgantown, West Virginia, USA d Center for Inhalation Toxicology, West Virginia University School of Medicine, Morgantown, West Virginia, USA c National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, USA a Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, USA |
| AuthorAffiliation_xml | – name: d Center for Inhalation Toxicology, West Virginia University School of Medicine, Morgantown, West Virginia, USA – name: c National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, USA – name: a Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, USA – name: b Department of Physiology and Pharmacology, West Virginia University School of Medicine, Morgantown, West Virginia, USA |
| Author_xml | – sequence: 1 givenname: William G. orcidid: 0000-0003-0720-5829 surname: Lindsley fullname: Lindsley, William G. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 2 givenname: Francoise M. orcidid: 0000-0003-1022-9741 surname: Blachere fullname: Blachere, Francoise M. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 3 givenname: Donald H. orcidid: 0000-0001-5543-5747 surname: Beezhold fullname: Beezhold, Donald H. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 4 givenname: Brandon F. orcidid: 0000-0002-3658-6547 surname: Law fullname: Law, Brandon F. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 5 givenname: Raymond C. orcidid: 0000-0003-3788-4551 surname: Derk fullname: Derk, Raymond C. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 6 givenname: Justin M. orcidid: 0000-0002-9143-1513 surname: Hettick fullname: Hettick, Justin M. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 7 givenname: Karen orcidid: 0000-0002-0184-5801 surname: Woodfork fullname: Woodfork, Karen organization: Center for Inhalation Toxicology, West Virginia University School of Medicine – sequence: 8 givenname: William T. orcidid: 0000-0002-6983-0200 surname: Goldsmith fullname: Goldsmith, William T. organization: Center for Inhalation Toxicology, West Virginia University School of Medicine – sequence: 9 givenname: James R. surname: Harris fullname: Harris, James R. organization: National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 10 givenname: Matthew G. surname: Duling fullname: Duling, Matthew G. organization: National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 11 givenname: Brenda surname: Boutin fullname: Boutin, Brenda organization: National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 12 givenname: Timothy orcidid: 0000-0001-9105-970X surname: Nurkiewicz fullname: Nurkiewicz, Timothy organization: Center for Inhalation Toxicology, West Virginia University School of Medicine – sequence: 13 givenname: Theresa orcidid: 0000-0001-9469-3028 surname: Boots fullname: Boots, Theresa organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 14 givenname: Jayme orcidid: 0000-0002-4660-4710 surname: Coyle fullname: Coyle, Jayme organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention – sequence: 15 givenname: John D. orcidid: 0000-0002-2927-9530 surname: Noti fullname: Noti, John D. organization: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35923216$$D View this record in MEDLINE/PubMed |
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| Keywords | Face masks Airborne transmission Infectious disease transmission Infection control |
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| Snippet | Universal mask wearing is recommended to help control the spread of COVID-19. Masks reduce the expulsion of aerosols of respiratory fluids into the environment... |
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| SubjectTerms | Yannis Drossinos |
| Title | A comparison of performance metrics for cloth masks as source control devices for simulated cough and exhalation aerosols |
| URI | https://www.tandfonline.com/doi/abs/10.1080/02786826.2021.1933377 https://www.ncbi.nlm.nih.gov/pubmed/35923216 https://www.proquest.com/docview/2698633087 https://pubmed.ncbi.nlm.nih.gov/PMC9345405 |
| Volume | 55 |
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