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《MedRxiv，3月13日，Prediction of the COVID-19 outbreak based on a realistic stochastic model》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-03-14

  • Prediction of the COVID-19 outbreak based on a realistic stochastic model

    Yuan Zhang, Chong You, Zhenghao Cai, Jiarui Sun, Wenjie Hu, Xiao-Hua Zhou

    doi: https://doi.org/10.1101/2020.03.10.20033803

    Abstract

    The current outbreak of coronavirus disease 2019 (COVID-19) has become a global crisis due to its quick and wide spread over the world. A good understanding of the dynamic of the disease would greatly enhance the control and prevention of COVID-19. However, to the best of our knowledge, the unique features of the outbreak have limited the applications of all existing models. In this paper, a novel stochastic model is proposed which aims to account for the unique transmission dynamics of COVID-19 and capture the effects of intervention measures implemented in Mainland China.

    *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/10.1101/2020.03.10.20033803v1
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