4.8 Article

Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions

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NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-021-22366-y

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资金

  1. UK Medical Research Council [MR/R015600/1]
  2. Department for International Development [MR/R015600/1]
  3. National Institute for Health Research Health Protection Research Unit in Modelling Methodology
  4. Abdul Latif Jameel Foundation
  5. EDCTP2 programme - European Union
  6. European Commission [CoroNAb 101003653]
  7. Wellcome Trust [220885/Z/20/Z]
  8. UK Foreign Commonwealth and Development Office
  9. Wellcome Trust [220885/Z/20/Z] Funding Source: Wellcome Trust
  10. MRC [MR/R015600/1] Funding Source: UKRI

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The study indicates that early implementation of strong non-pharmaceutical interventions can reduce COVID-19 morbidity and mortality. The time elapsed between epidemic origin and intervention is associated with epidemic severity and explains part of the variance in reported deaths. Delay in implementing interventions resulted in more severe epidemics.
Unprecedented public health interventions including travel restrictions and national lockdowns have been implemented to stem the COVID-19 epidemic, but the effectiveness of non-pharmaceutical interventions is still debated. We carried out a phylogenetic analysis of more than 29,000 publicly available whole genome SARS-CoV-2 sequences from 57 locations to estimate the time that the epidemic originated in different places. These estimates were examined in relation to the dates of the most stringent interventions in each location as well as to the number of cumulative COVID-19 deaths and phylodynamic estimates of epidemic size. Here we report that the time elapsed between epidemic origin and maximum intervention is associated with different measures of epidemic severity and explains 11% of the variance in reported deaths one month after the most stringent intervention. Locations where strong non-pharmaceutical interventions were implemented earlier experienced much less severe COVID-19 morbidity and mortality during the period of study. Estimating the effects of non-pharmaceutical interventions for COVID-19 is challenging, partly due to variations in testing. Here, the authors use viral sequence data as an alternative means of inferring intervention effects, and show that delays in implementation resulted in more severe epidemics.

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