Propagation analysis and prediction of the COVID-19

  1. Lixiang Li
  2. Zihang Yang
  3. Zhongkai Dang
  4. Cui Meng
  5. Jingze Huang
  6. Hao Tian Meng
  7. Deyu Wang
  8. Guanhua Chen
  9. Jiaxuan Zhang
  10. Haipeng Peng
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Abstract

Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is within 3%. At the same time, it realized forward prediction and backward inference of the epidemic situation, and the relevant analysis help relevant countries to make decisions.

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