Author: Li, Lixiang; Yang, Zihang; Dang, Zhongkai; Meng, Cui; Huang, Jingze; Meng, Hao Tian; Wang, Deyu; Chen, Guanhua; Zhang, Jiaxuan; Peng, Haipeng
Title: Propagation analysis and prediction of the COVID-19 Cord-id: dm4oevtb Document date: 2020_3_15
ID: dm4oevtb
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 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.
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 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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