4.8 Article

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

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NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-021-24115-7

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资金

  1. National Institute of Diabetes and Digestive and Kidney Diseases [K01DK110267, K01DK120742]
  2. NIDDK [K23-DK120899]
  3. American Gastroenterological Association Research Scholars Award
  4. Massachusetts Consortium on Pathogen Readiness (MassCPR)
  5. Wellcome Trust
  6. EPSRC [WT212904/Z/18/Z, WT203148/Z/16/Z, T213038/Z/18/Z]
  7. NIHR GSTT/KCL Biomedical Research Centre
  8. MRC/BHF [MR/M016560/1]
  9. UK Research and Innovation London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare
  10. Alzheimer's Society [AS-JF-17-011]
  11. NIHR Doctoral Fellowship [NIHR300159]
  12. European Commission Horizon 2020 program [H2020-MSCA-IF-2015-703787]
  13. National Institutes of Health [P30 DK40561]
  14. NIH/NIEHS [P30 ES000002]
  15. NIH/NIDDK [K01 DK125612]
  16. National Institutes of Health Research (NIHR) [NIHR300159] Funding Source: National Institutes of Health Research (NIHR)

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The study revealed that community-level social distancing measures and individual face mask use can effectively reduce the risk of COVID-19, and wearing masks remains crucial in protecting individuals, even in settings of poor social distancing.
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. Estimating the effectiveness of COVID-19 control measures requires large prospective data including symptoms and personal risk factors. Here, the authors used data from smartphone-based application and found that individual face mask use was associated with a 64% reduced risk of COVID-19 symptoms.

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