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Abstract
Early in the pandemic of coronavirus disease 2019 (COVID-19), face masks were used extensively by the general public in several Asian countries. The lower transmission rate of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Asian countries compared with Western countries suggested that the wider community use of face masks has the potential to decrease transmission of SARS-CoV-2. A risk assessment model named Susceptible, Exposed, Infectious, Recovered (SEIR) model is used to quantitatively evaluate the potential impact of community face masks on SARS-CoV-2 reproduction number (R0) and peak number of infectious persons. For a simulated population of one million, the model showed a reduction in R0 of 49% and 50% when 60% and 80% of the population wore masks, respectively. Moreover, we present a modified model that considers the effect of mask-wearing after community vaccination. Interestingly mask-wearing still provided a considerable benefit in lowering the number of infectious individuals. The results of this research are expected to help public health officials in making prompt decisions involving resource allocation and crafting legislation. © 2022 Society for Risk Analysis.
Original language | English |
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Pages (from-to) | 129–143 |
Journal | Risk Analysis |
Volume | 43 |
Issue number | 1 |
Online published | 15 Jun 2022 |
DOIs | |
Publication status | Published - Jan 2023 |
Funding
This work is supported by National Natural Science Foundation of China (71971181 and 72032005) and by Research Grant Council of Hong Kong (11203519, 11200621). It is also funded by Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA) and Hong Kong Institute of Data Science (Project 9360163).
Research Keywords
- coronavirus
- infectious disease
- R0
- risk assessment
- SEIR
- SURGICAL MASK
- PERFORMANCE
- CORONAVIRUS
- INFECTIONS
- FACEMASKS
- SARS
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