Propagation analysis and prediction of the COVID-19

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...

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Detalles Bibliográficos
Autores principales: Li, Lixiang, Yang, Zihang, Dang, Zhongkai, Meng, Cui, Huang, Jingze, Meng, Haotian, Wang, Deyu, Chen, Guanhua, Zhang, Jiaxuan, Peng, Haipeng, Shao, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118312/
https://www.ncbi.nlm.nih.gov/pubmed/32292868
http://dx.doi.org/10.1016/j.idm.2020.03.002
Descripción
Sumario: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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