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Dataset of filtration efficiency associated with "Quantifying the health benefits of face masks and respirators to mitigate exposure to severe air pollution"

dc.contributor.authorKodros, John K
dc.contributor.authorO'Dell, Katelyn
dc.contributor.authorSamet, Jon
dc.contributor.authorL'Orange, Christian
dc.contributor.authorPierce, Jeffrey R.
dc.contributor.authorVolckens, John
dc.date.accessioned2021-08-04T19:20:41Z
dc.date.available2021-08-04T19:20:41Z
dc.date.issued2021
dc.descriptionThis dataset includes the average (“mask_efficiency_mean”) and standard deviation (“mask_efficiency_sd”) of measured filtration efficiency for natural-fiber masks, synthetic-fiber mask, surgical mask, and N95 respirator as a function of particle diameter. This dataset is associated with the publication "Quantifying the health benefits of face masks and respirators to mitigate exposure to severe air pollution".en_US
dc.descriptionDepartment of Mechanical Engineering
dc.descriptionDepartment of Environmental and Radiological Health Sciences
dc.descriptionDepartment of Atmospheric Science
dc.description.abstractFamiliarity with the use of face coverings to reduce the risk of respiratory disease has increased during the coronavirus pandemic; however, recommendations for their use outside of the pandemic remains limited. Here, we develop a modeling framework to quantify the potential health benefits of wearing a face covering or respirator to mitigate exposure to severe air pollution. This framework accounts for the wide range of available face coverings and respirators, fit factors and efficacy, air pollution characteristics, and exposure-response data. Our modeling shows that N95 respirators offer robust protection against different sources of air pollution, reducing exposure by more than a factor of 14 when worn with a leak rate of 5%. Synthetic-fiber masks offer less protection with a strong dependence on aerosol size distribution (protection factors ranging from 4.4 to 2.2.), while natural-fiber and surgical masks offer reductions in exposure of 1.9 and 1.7, respectively. To assess the ability of face coverings to provide population-level health benefits to wildfire smoke, we perform a case study for the 2012 Washington state fire season. Our models suggest that although natural-fiber masks offer minor reductions in respiratory hospitalizations attributable to smoke (2-11%) due to limited filtration efficiency, N95 respirators and to a lesser extent surgical and synthetic-fiber masks may lead to notable reductions in smoke-attributable hospitalizations (22-39%, 9-24%, and 7-18%, respectively). The filtration efficiency, bypass rate, compliance rate (fraction of time and population wearing the device) are the key factors governing exposure reduction potential and health benefits during severe air pollution events.en_US
dc.format.mediumPDF
dc.format.mediumCSV
dc.identifier.urihttps://hdl.handle.net/10217/233603
dc.identifier.urihttp://dx.doi.org/10.25675/10217/233603
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyKodros, J. K., O’Dell, K., Samet, J. M., L’Orange, C., Pierce, J. R., & Volckens, J. (2021). Quantifying the health benefits of face masks and respirators to mitigate exposure to severe air pollution. GeoHealth, 5, e2021GH000482. https://doi.org/10.1029/2021GH000482en_US
dc.rights.licenseThe material is open access and distributed under the terms and conditions of the Creative Commons Public Domain "No rights reserved" (https://creativecommons.org/share-your-work/public-domain/cc0/).
dc.rights.urihttps://creativecommons.org/share-your-work/public-domain/cc0/
dc.titleDataset of filtration efficiency associated with "Quantifying the health benefits of face masks and respirators to mitigate exposure to severe air pollution"en_US
dc.typeDataseten_US

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Size-resolved filtration efficiency
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