4.7 Article

Slight reduction in SARS-CoV-2 exposure viral load due to masking results in a significant reduction in transmission with widespread implementation

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-91338-5

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Funding

  1. NIH
  2. Washington Research Foundation
  3. UW CFAR

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Masks are a vital tool for limiting the spread of SARS-CoV-2 in the population, with even moderately efficacious masks reducing the probability of successful transmission and limiting infection severity. The use of masks can substantially decrease the effective reproductive number, highlighting their importance relative to other biomedical interventions in controlling the COVID-19 pandemic.
Masks are a vital tool for limiting SARS-CoV-2 spread in the population. Here we utilize a mathematical model to assess the impact of masking on transmission within individual transmission pairs and at the population level. Our model quantitatively links mask efficacy to reductions in viral load and subsequent transmission risk. Our results reinforce that the use of masks by both a potential transmitter and exposed person substantially reduces the probability of successful transmission, even if masks only lower exposure viral load by similar to 50%. Slight increases in mask adherence and/or efficacy above current levels would reduce the effective reproductive number (R-e) substantially below 1, particularly if implemented comprehensively in potential super-spreader environments. Our model predicts that moderately efficacious masks will also lower exposure viral load tenfold among people who get infected despite masking, potentially limiting infection severity. Because peak viral load tends to occur pre-symptomatically, we also identify that antiviral therapy targeting symptomatic individuals is unlikely to impact transmission risk. Instead, antiviral therapy would only lower R-e if dosed as post-exposure prophylaxis and if given to similar to 50% of newly infected people within 3 days of an exposure. These results highlight the primacy of masking relative to other biomedical interventions under consideration for limiting the extent of the COVID-19 pandemic prior to widespread implementation of a vaccine. To confirm this prediction, we used a regression model of King County, Washington data and simulated the counterfactual scenario without mask wearing to estimate that in the absence of additional interventions, mask wearing decreased R-e from 1.3-1.5 to similar to 1.0 between June and September 2020.

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