Author: Li, Lixiang; Yang, Zihang; Dang, Zhongkai; Meng, Cui; Huang, Jingze; Meng, Haotian; Wang, Deyu; Chen, Guanhua; Zhang, Jiaxuan; Peng, Haipeng; Shao, Yiming
Title: Propagation analysis and prediction of the COVID-19 Cord-id: juxlh8xb Document date: 2020_3_31
ID: juxlh8xb
Snippet: 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 quite small. 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.
Document: 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 quite small. 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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