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Propagation analysis and prediction of the COVID-19

2020; Cornell University; Linguagem: Inglês

10.48550/arxiv.2003.06846

Lixiang Li, Zihang Yang, Zhongkai Dang, Meng Cui, Jingze Huang, Hao Meng, Deyu Wang, Guanhua Chen, Jiaxuan Zhang, Haipeng Peng,

SARS-CoV-2 and COVID-19 Research

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.