《MedRxiv,3月13日,Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-03-14
  • Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

    Zhihua Liu, pierre magal, Ousmane Seydi, Glenn Webb

    doi: https://doi.org/10.1101/2020.03.11.20034314

    Abstract

    We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.

    *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/10.1101/2020.03.11.20034314v1
相关报告
  • 《MedRxiv,3月24日,Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-25
    • Predicting the number of reported and unreported cases for the COVID-19 epidemic in South Korea, Italy, France and Germany pierre magal, Glenn Webb doi: https://doi.org/10.1101/2020.03.21.20040154 Abstract We model the COVID-19 coronavirus epidemic in South Korea, Italy, France, and Germany. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases. *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.