Selected article for: "flow seir model and traffic blockage factor"
Author: Deqiang Li; Zhicheng Liu; Qinghe Liu; Zefei Gao; Junkai Zhu; Junyan Yang; Qiao Wang
Title: Estimating the Efficacy of Traffic Blockage and Quarantine for the Epidemic Caused by 2019-nCoV (COVID-19)
  • Document date: 2020_2_17
    • ID: 6f6t558e_6
    Snippet: Unlike our previous work [9] on H7N9 avian influenza which was a retrospective analysis, we are now doing predictive analysis of COVID-19 in an emergency. Beside our Flow-SEIHR model based predition for the trends of COVID-19 [10] , this paper will focus on quantifying the quarantine factor and the traffic blockage factor such that we may numerically evaluate the effects of various policies. Specifically, we apply a Flow-SEIR model, a simplified .....
    Document: Unlike our previous work [9] on H7N9 avian influenza which was a retrospective analysis, we are now doing predictive analysis of COVID-19 in an emergency. Beside our Flow-SEIHR model based predition for the trends of COVID-19 [10] , this paper will focus on quantifying the quarantine factor and the traffic blockage factor such that we may numerically evaluate the effects of various policies. Specifically, we apply a Flow-SEIR model, a simplified version of Flow-SEIHR model proposed in [10] , which may enable us to perform a wide range of assessments nationwide.

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