《MedRxiv,3月13日,Genomic epidemiology of a densely sampled COVID19 outbreak in China》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-03-14
  • Genomic epidemiology of a densely sampled COVID19 outbreak in China

    Erik Volz, Han Fu, Haowei Wang, Xiauoyue Xi, Wei Chen, Dehui Liu, Yingying Chen, Mengmeng Tian, Wei Tan, Junjie Zai, Wanying Zan, Xinguang Li, Qing Nie

    doi: https://doi.org/10.1101/2020.03.09.20033365

    Abstract

    Analysis of genetic sequence data from the pandemic SARS Coronavirus 2 can provide insights into epidemic origins, worldwide dispersal, and epidemiological history. With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets with few isolates in any given location. Here we report an analysis of 20 whole SARS-CoV 2 genomes from a single relatively small and geographically constrained outbreak in Weifang, People's Republic of China. Using Bayesian model-based phylodynamic methods, we estimate the reproduction number for the outbreak to be 1.99(95% CI:1.48-3.14).

    *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/10.1101/2020.03.09.20033365v1
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