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《Nature，5月4日，Effect of non-pharmaceutical interventions to contain COVID-19 in China》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-05-05

  • Effect of non-pharmaceutical interventions to contain COVID-19 in China

    Shengjie Lai, Nick W. Ruktanonchai, Liangcai Zhou, Olivia Prosper, Wei Luo, Jessica R. Floyd, Amy Wesolowski, Mauricio Santillana, Chi Zhang, Xiangjun Du, Hongjie Yu & Andrew J. Tatem

    Nature (2020)

    Abstract

    On March 11, 2020, the World Health Organization declared COVID-19 a pandemic1. The outbreak containment strategies in China based on non-pharmaceutical interventions (NPIs) appear to be effective2, but quantitative research is still needed to assess the efficacy of NPIs and their timings3. Using epidemiological and anonymised human movement data4,5, here we develop a modelling framework that uses daily travel networks to simulate different outbreak and intervention scenarios across China. We estimated that there were a total of 114,325 COVID-19 cases (interquartile range 76,776 - 164,576) in mainland China as of February 29, 2020. Without NPIs, the COVID-19 cases would likely have shown a 67-fold increase (interquartile range 44 - 94) by February 29, 2020, with the effectiveness of different interventions varying.

  • 原文来源：https://www.nature.com/articles/s41586-020-2293-x
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    • 编译者：zhangmin
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    • Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak: an observational and modelling study Shengjie Lai, Nick W Ruktanonchai, Liangcai Zhou, Olivia Prosper, Wei Luo, Jessica R Floyd, Amy Wesolowski, Chi Zhang, Xiangjun Du, Hongjie Yu, Andrew J Tatem doi: https://doi.org/10.1101/2020.03.03.20029843 Abstract Background The COVID-19 outbreak containment strategies in China based on non-pharmaceutical interventions (NPIs) appear to be effective. Quantitative research is still needed however to assess the efficacy of different candidate NPIs and their timings to guide ongoing and future responses to epidemics of this emerging disease across the World. Methods We built a travel network-based susceptible-exposed-infectious-removed (SEIR) model to simulate the outbreak across cities in mainland China. We used epidemiological parameters estimated for the early stage of outbreak in Wuhan to parameterise the transmission before NPIs were implemented. *注，本文为预印本论文手稿，是未经同行评审的初步报告，其观点仅供科研同行交流，并不是结论性内容，请使用者谨慎使用.
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