Author: Li, LiXiang; Yang, ZiHang; Dang, ZhongKai; Meng, Cui; Huang, JingZe; Meng, HaoTian; Wang, DeYu; Chen, GuanHua; Zhang, JiaXuan; Peng, HaiPeng
Title: Propagation analysis and prediction of the COVID-19 Cord-id: nf51yjmj Document date: 2020_3_18
ID: nf51yjmj
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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