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      Expiratory aerosol particle escape from surgical masks due to imperfect sealing

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          Abstract

          Wearing surgical masks or other similar face coverings can reduce the emission of expiratory particles produced via breathing, talking, coughing, or sneezing. Although it is well established that some fraction of the expiratory airflow leaks around the edges of the mask, it is unclear how these leakage airflows affect the overall efficiency with which masks block emission of expiratory aerosol particles. Here, we show experimentally that the aerosol particle concentrations in the leakage airflows around a surgical mask are reduced compared to no mask wearing, with the magnitude of reduction dependent on the direction of escape (out the top, the sides, or the bottom). Because the actual leakage flowrate in each direction is difficult to measure, we use a Monte Carlo approach to estimate flow-corrected particle emission rates for particles having diameters in the range 0.5–20 μm. in all orientations. From these, we derive a flow-weighted overall number-based particle removal efficiency for the mask. The overall mask efficiency, accounting both for air that passes through the mask and for leakage flows, is reduced compared to the through-mask filtration efficiency, from 93 to 70% for talking, but from only 94–90% for coughing. These results demonstrate that leakage flows due to imperfect sealing do decrease mask efficiencies for reducing emission of expiratory particles, but even with such leakage surgical masks provide substantial control.

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          Respiratory virus shedding in exhaled breath and efficacy of face masks

          We identified seasonal human coronaviruses, influenza viruses and rhinoviruses in exhaled breath and coughs of children and adults with acute respiratory illness. Surgical face masks significantly reduced detection of influenza virus RNA in respiratory droplets and coronavirus RNA in aerosols, with a trend toward reduced detection of coronavirus RNA in respiratory droplets. Our results indicate that surgical face masks could prevent transmission of human coronaviruses and influenza viruses from symptomatic individuals.
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            Aerosol Filtration Efficiency of Common Fabrics Used in Respiratory Cloth Masks

            The emergence of a pandemic affecting the respiratory system can result in a significant demand for face masks. This includes the use of cloth masks by large sections of the public, as can be seen during the current global spread of COVID-19. However, there is limited knowledge available on the performance of various commonly available fabrics used in cloth masks. Importantly, there is a need to evaluate filtration efficiencies as a function of aerosol particulate sizes in the 10 nm to 10 μm range, which is particularly relevant for respiratory virus transmission. We have carried out these studies for several common fabrics including cotton, silk, chiffon, flannel, various synthetics, and their combinations. Although the filtration efficiencies for various fabrics when a single layer was used ranged from 5 to 80% and 5 to 95% for particle sizes of 300 nm, respectively, the efficiencies improved when multiple layers were used and when using a specific combination of different fabrics. Filtration efficiencies of the hybrids (such as cotton–silk, cotton–chiffon, cotton–flannel) was >80% (for particles 90% (for particles >300 nm). We speculate that the enhanced performance of the hybrids is likely due to the combined effect of mechanical and electrostatic-based filtration. Cotton, the most widely used material for cloth masks performs better at higher weave densities (i.e., thread count) and can make a significant difference in filtration efficiencies. Our studies also imply that gaps (as caused by an improper fit of the mask) can result in over a 60% decrease in the filtration efficiency, implying the need for future cloth mask design studies to take into account issues of “fit” and leakage, while allowing the exhaled air to vent efficiently. Overall, we find that combinations of various commonly available fabrics used in cloth masks can potentially provide significant protection against the transmission of aerosol particles.
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              Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities

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                Author and article information

                Contributors
                cdcappa@ucdavis.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 June 2021
                8 June 2021
                2021
                : 11
                : 12110
                Affiliations
                [1 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Civil and Environmental Engineering, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [2 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Chemical Engineering, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [3 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Linguistics, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [4 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Mechanical and Aerospace Engineering, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [5 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Air Quality Research Center, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [6 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Land, Air and Water Resources, , University of California Davis, ; 1 Shields Ave., Davis, CA 95616 USA
                [7 ]GRID grid.59734.3c, ISNI 0000 0001 0670 2351, Department of Medicine, Division of Infectious Diseases, , Icahn School of Medicine at Mount Sinai, ; 1 Gustave Levy Place, New York, NY 10029 USA
                [8 ]GRID grid.59734.3c, ISNI 0000 0001 0670 2351, Department Microbiology, , Icahn School of Medicine at Mount Sinai, ; 1 Gustave Levy Place, New York, NY 10029 USA
                [9 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Present Address: Department of Chemical Engineering, , Massachusetts Institute of Technology, ; 77 Massachusetts Av., Cambridge, MA 02139 USA
                Article
                91487
                10.1038/s41598-021-91487-7
                8187651
                34103573
                f220670b-011b-46e2-9961-62759d6ef815
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 January 2021
                : 27 May 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: R01 AI110703
                Categories
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                © The Author(s) 2021

                Uncategorized
                health care,engineering
                Uncategorized
                health care, engineering

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