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  • Face masks provide high outward protection despite peripheral leakage: Insights from a reduced-order model of face mask aerodynamics
Title: Face masks provide high outward protection despite peripheral leakage: Insights from a reduced-order model of face mask aerodynamics
A reduced-order model of face mask aerodynamics and aerosol filtration is introduced. This model incorporates existing empirical data on filtration efficiency for different types of face masks, as well as the size distribution of exhaled aerosol particles. By considering realistic peripheral gap profiles, our model estimates both the extent of peripheral leakage and the fitted filtration efficiency of face masks in terms of outward protection. Simulations employing realistic peripheral gap profiles reveal that, for surgical masks, 80% or more of the total exhaled airflow could leak through the mask periphery, even when the average peripheral gap measures only 0.65 mm. However, the majority of exhaled aerosol particles do not follow the flow path through the peripheral gaps but, instead, impact directly on the mask fabric. As a result, these face masks can filter out approximately 70% of the exhaled particles despite the significant peripheral leakage. To validate our model, we compare its predictions with experimental data, and we find a reasonable agreement in estimating the outward protection provided by surgical masks. This validation underscores the reliability of our model in assessing the efficacy of surgical masks. Moreover, leveraging the insights gained from our model, we explore the impact of mask usage on the transmission of respiratory viruses within communities. By considering various scenarios, we can assess the potential reduction in viral spread achieved through widespread mask adoption.  more » « less
Award ID(s):
2034983 2034992
PAR ID:
10468023
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
American Institute of Physics
Date Published:
Journal Name:
Physics of Fluids
Volume:
35
Issue:
6
ISSN:
1070-6631
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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