《Nature,7月16日,Reconstruction of the full transmission dynamics of COVID-19 in Wuhan》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-07-28
  • Reconstruction of the full transmission dynamics of COVID-19 in Wuhan

    Xingjie Hao, Shanshan Cheng, Degang Wu, Tangchun Wu, Xihong Lin & Chaolong Wang

    Nature (2020)

    Abstract

    As countries in the world review interventions for containing the pandemic of coronavirus disease 2019 (COVID-19), important lessons can be drawn from the study of the full transmission dynamics of its causative agent—severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)— in Wuhan (China), where vigorous non-pharmaceutical interventions have suppressed the local outbreak of this disease1. Here we use a modelling approach to reconstruct the full-spectrum dynamics of COVID-19 in Wuhan between 1 January and 8 March 2020 across 5 periods defined by events and interventions, on the basis of 32,583 laboratory-confirmed cases1. Accounting for presymptomatic infectiousness2, time-varying ascertainment rates, transmission rates and population movements3, we identify two key features of the outbreak: high covertness and high transmissibility. We estimate 87% (lower bound, 53%) of the infections before 8 March 2020 were unascertained (potentially including asymptomatic and mildly symptomatic individuals); and a basic reproduction number (R0) of 3.54 (95% credible interval 3.40–3.67) in the early outbreak, much higher than that of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS)4,5. We observe that multipronged interventions had considerable positive effects on controlling the outbreak, decreasing the reproduction number to 0.28 (95% credible interval 0.23–0.33) and—by projection—reducing the total infections in Wuhan by 96.0% as of 8 March 2020.

  • 原文来源:https://www.nature.com/articles/s41586-020-2554-8
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  • 《Nature,3月19日,Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-20
    • Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China Joseph T. Wu, Kathy Leung, Mary Bushman, Nishant Kishore, Rene Niehus, Pablo M. de Salazar, Benjamin J. Cowling, Marc Lipsitch & Gabriel M. Leung Nature Medicine (2020) Abstract As of 29 February 2020 there were 79,394 confirmed cases and 2,838 deaths from COVID-19 in mainland China. Of these, 48,557 cases and 2,169 deaths occurred in the epicenter, Wuhan. A key public health priority during the emergence of a novel pathogen is estimating clinical severity, which requires properly adjusting for the case ascertainment rate and the delay between symptoms onset and death. Using public and published information, we estimate that the overall symptomatic case fatality risk (the probability of dying after developing symptoms) of COVID-19 in Wuhan was 1.4% (0.9–2.1%), which is substantially lower than both the corresponding crude or naïve confirmed case fatality risk (2,169/48,557 = 4.5%) and the approximator1 of deaths/deaths + recoveries (2,169/2,169 + 17,572 = 11%) as of 29 February 2020.
  • 《7月16日_华科和哈佛重建武汉COVID-19传播动力学》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-07-28
    • Nature于7月16日发表了华中科技大学同济医学院、华中科技大学国家重大公共卫生事件医学中心、哈佛大学陈曾熙公共卫生学院等机构的研究文章“Reconstruction of the full transmission dynamics of COVID-19 in Wuhan”。 文章指出,随着世界各国对遏制COVID-19大流行的干预措施进行审查,可以通过研究中国武汉市SARS-CoV-2的全面传播动态来汲取重要经验教训,武汉大力的非药物干预措施抑制了当地的COVID-19疫情。本文中,研究人员使用建模方法,根据32,583例实验室确诊病例,重建了2020年1月1日至2020年3月8日之间以事件和干预措施为标记的五个时期的COVID-19全谱动态。考虑到症状前的传染性,随时间变化的确诊率、传播率和人口流动,研究人员确定了疫情的两个关键特征:高隐蔽性和高传播性。研究人员估计在3月8日之前87%的感染者(下限为53%)未确诊,可能包括无症状和轻度症状的病例。暴发初期的基本再生数R0为3.54(95%可信区间[CrI]:3.40-3.67),远高于SARS和MERS。研究人员观察到多管齐下的干预措施对控制疫情有相当大的积极作用,将再生数减少到0.28(0.23-0.33)以及通过预测截至3月8日在武汉的总感染率降低了96.0%。研究人员进一步探究了14天在去确诊感染后取消所有干预措施后的复发率,根据87%和53%的未确诊感染率的模型分别估计为0.32和0.06,突出了未确诊病例在改变干预策略中所带来的风险。文章表示,这些结果为持续监控和干预以最终遏制COVID-19疫情提供了重要意义。 原文链接:https://www.nature.com/articles/s41586-020-2554-8