《MedRxiv,3月6日,The serial interval of COVID-19 from publicly reported confirmed cases》

  • 来源专题:COVID-19科研动态监测
  • 编译者: xuwenwhlib
  • 发布时间:2020-03-07
  • The serial interval of COVID-19 from publicly reported confirmed cases

    Zhanwei Du, Xiaoke Xu, Ye Wu, Lin Wang, Benjamin J Cowling, View ORCID ProfileLauren Ancel Meyers

    doi: https://doi.org/10.1101/2020.02.19.20025452

    Abstract

    As a novel coronavirus (COVID-19) continues to emerge throughout China and threaten the globe, its transmission characteristics remain uncertain. Here, we analyze the serial intervals-the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case-of 468 infector-infectee pairs with confirmed COVID-19 cases reported by health departments in 18 Chinese provinces between January 21, 2020, and February 8, 2020. The reported serial intervals range from -11 days to 20 days, with a mean of 3.96 days (95% confidence interval: 3.53-4.39), a standard deviation of 4.75 days (95% confidence interval: 4.46-5.07), and 12.1% of reports indicating pre-symptomatic transmission.

    *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.

  • 原文来源:https://www.medrxiv.org/content/10.1101/2020.02.19.20025452v2
相关报告
  • 《MedRxiv,2月23日,The serial interval of COVID-19 from publicly reported confirmed cases》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-02-24
    • The serial interval of COVID-19 from publicly reported confirmed cases Zhanwei Du, Lin Wang, Xiaoke Xu, Ye Wu, Benjamin J Cowling, Lauren Ancel Meyers doi: https://doi.org/10.1101/2020.02.19.20025452 Abstract As a novel coronavirus (COVID-19) continues to emerge throughout China and threaten the globe, its transmission characteristics remain uncertain. Here, we analyze the serial intervals-the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case-of 468 infector-infectee pairs with confirmed COVID-19 cases reported by health departments in 18 Chinese provinces between January 21, 2020, and February 8, 2020. The reported serial intervals range from -11 days to 20 days, with a mean of 3.96 days (95% confidence interval: 3.53-4.39), a standard deviation of 4.75 days (95% confidence interval: 4.46-5.07), and 12.1% of reports indicating pre-symptomatic transmission. *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.
  • 《MedRxiv,3月13日,Inferring the number of COVID-19 cases from recently reported deaths》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-14
    • Inferring the number of COVID-19 cases from recently reported deaths Thibaut Jombart, Kevin van Zandvoort, Tim Russell, Christopher Jarvis, Amy Gimma, Sam Abbott, Samuel Clifford, Sebastian Funk, Hamish Gibbs, Yang Liu, Carl Pearson, Nikos Bosse, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Rosalind M Eggo, Adam J Kucharski, John Edmunds doi: https://doi.org/10.1101/2020.03.10.20033761 Abstract We estimate the number of COVID-19 cases from newly reported deaths in a population without previous reports. Our results suggest that by the time a single death occurs, hundreds to thousands of cases are likely to be present in that population. This suggests containment via contact tracing will be challenging at this point, and other response strategies should be considered. Our approach is implemented in a publicly available, user-friendly, online tool. *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.