Selected article for: "chinese government and Î estimate"
Author: Peter X Song; Lili Wang; Yiwang Zhou; Jie He; Bin Zhu; Fei Wang; Lu Tang; Marisa Eisenberg
Title: An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China
  • Document date: 2020_3_3
    • ID: m9icky9z_84
    Snippet: To estimate parameter λ and a, we want to minimize the least square error of the estimated number yptq of infected cases at t " 32 (Feb 13), which is one day after the Chinese government changed the diagnosis protocol. It is assumed that the difference between the predicted and observed number of infections on Feb 13 would not be big if the model were established well, although the long term difference might be large due to other interventions. .....
    Document: To estimate parameter λ and a, we want to minimize the least square error of the estimated number yptq of infected cases at t " 32 (Feb 13), which is one day after the Chinese government changed the diagnosis protocol. It is assumed that the difference between the predicted and observed number of infections on Feb 13 would not be big if the model were established well, although the long term difference might be large due to other interventions. Therefore, the optimization problem we want to solve is, min a,λ typ32q´ae 32λ`a u 2 s.t. ae 31λ´a " yp31q.

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