2022
DOI: 10.1080/02786826.2022.2053656
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Estimating the reduction in SARS-CoV-2 viral load by common face masks with a simple leak model

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Cited by 5 publications
(4 citation statements)
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“…The size distribution of the emitted droplets had a significant impact on the infection risk and on the evaluation of the protection provided by facemasks, as shown by a comparable model considering a slightly different emission size distribution. 124 As the amount of viral charges in a particle was considered to be mostly dependent on We aimed at taking into account the variability of the input parameters such as the total number of emitted droplets, the viral charge concentration and the infectivity (still under investigation for SARS-CoV-2 so far and highly dependent on new variants) and calculated infection risk distributions spanning over several orders of magnitude. We also based our calculations on estimated fit factors for the masks, intended to reflect the fitting qualities of FFP2 and medical masks worn by non-trained users.…”
Section: Limitati On S Of the De Veloped Modelmentioning
confidence: 99%
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“…The size distribution of the emitted droplets had a significant impact on the infection risk and on the evaluation of the protection provided by facemasks, as shown by a comparable model considering a slightly different emission size distribution. 124 As the amount of viral charges in a particle was considered to be mostly dependent on We aimed at taking into account the variability of the input parameters such as the total number of emitted droplets, the viral charge concentration and the infectivity (still under investigation for SARS-CoV-2 so far and highly dependent on new variants) and calculated infection risk distributions spanning over several orders of magnitude. We also based our calculations on estimated fit factors for the masks, intended to reflect the fitting qualities of FFP2 and medical masks worn by non-trained users.…”
Section: Limitati On S Of the De Veloped Modelmentioning
confidence: 99%
“…The size distribution of the emitted droplets had a significant impact on the infection risk and on the evaluation of the protection provided by facemasks, as shown by a comparable model considering a slightly different emission size distribution. 124 As the amount of viral charges in a particle was considered to be mostly dependent on the particle's volume, large particles can have a significant impact on the calculation of the infection risk and on the quantification of the mitigation role of facemasks. However, such particles are challenging to measure as they have substantial settling velocities, making them less likely to reach the sampling instruments.…”
Section: Limitations Of the Developed Modelmentioning
confidence: 99%
“…Thus, highly populated indoor areas have caused a high number of infections. Nevertheless, studies have shown that masks prevent viruses from entering the airways in those areas in a high percentage [69,70].…”
Section: Virus Volume and Transmissionmentioning
confidence: 99%
“…Therefore, predicting or modeling the transmission of the virus is anything but accurate when accounting for a population wearing face masks. Researchers have then been interested in accounting for these leakages in their transmission models [33][34][35][36][37]. The use of computational models of the face, i.e., headform models, paired with computational fluid dynamics (CFD) or other physics models can be used to more accurately and systematically estimate the magnitude and location of the leakage sites for different face types.…”
Section: Introductionmentioning
confidence: 99%