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. 2021 Jun 18;12(1):3737.
doi: 10.1038/s41467-021-24115-7.

Association of social distancing and face mask use with risk of COVID-19

Affiliations

Association of social distancing and face mask use with risk of COVID-19

Sohee Kwon et al. Nat Commun. .

Abstract

Given the continued burden of COVID-19 worldwide, there is a high unmet need for data on the effect of social distancing and face mask use to mitigate the risk of COVID-19. We examined the association of community-level social distancing measures and individual face mask use with risk of predicted COVID-19 in a large prospective U.S. cohort study of 198,077 participants. Individuals living in communities with the greatest social distancing had a 31% lower risk of predicted COVID-19 compared with those living in communities with poor social distancing. Self-reported 'always' use of face mask was associated with a 62% reduced risk of predicted COVID-19 even among individuals living in a community with poor social distancing. These findings provide support for the efficacy of mask-wearing even in settings of poor social distancing in reducing COVID-19 transmission. Despite mass vaccination campaigns in many parts of the world, continued efforts at social distancing and face mask use remain critically important in reducing the spread of COVID-19.

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Conflict of interest statement

J.W., R.D., and J.C. are employees of Zoe Ltd. T.D.S. is a consultant to Zoe Ltd. D.A.D., J.M., and A.T.C. previously served as investigators on a clinical trial of diet and lifestyle using a separate mobile application that was supported by Zoe Ltd. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Risk of predicted Covid-19 according to living in a community with overall social-distancing grade at various time lags.
Overall social-distancing grades are denoted as Poor (F grade), Fair (D grade), Good (C grade), and Excellent (A + B grade). Overall social-grade categories (A, B, C, D, and F) are provided by Unacast. Cox proportional hazards regression models were used to calculate adjusted HRs and 95% CIs of predicted COVID-19. Adjusted models were stratified by age (<25, 25–34, 35–44, 45–54, 55–64, ≥65), state, and calendar date at study entry and further adjusted for race (White, Black, Asian, or other), sex (male or female), population density of residence (quartiles), current smoking, frontline healthcare worker, interaction with suspected or documented Covid-19, history of diabetes, heart disease, lung disease, and kidney disease (each yes or no). HR hazard ratio, CI confidence interval.

Update of

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