Propagation analysis and prediction of the COVID-19

被引：166

作者：

Li, Lixiang ^{[1
]}

Yang, Zihang ^{[1
]}

Dang, Zhongkai ^{[1
]}

Meng, Cui ^{[1
]}

Huang, Jingze ^{[1
]}

Meng, Haotian ^{[1
]}

Wang, Deyu ^{[1
]}

Chen, Guanhua ^{[1
]}

Zhang, Jiaxuan ^{[1
]}

Peng, Haipeng ^{[1
]}

Shao, Yiming ^{[2
]}

机构：

[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China

[2] Chinese Ctr Dis Control & Prevent China CDC, Collaborat Innovat Ctr Diag & Treatment Infect Di, State Key Lab Infect Dis Prevent & Control, Beijing, Peoples R China

来源：

INFECTIOUS DISEASE MODELLING | 2020年 / 5卷

基金：

中国国家自然科学基金;

关键词：

COVID-19; Short-term forecast; Epidemic control;

D O I：

10.1016/j.idm.2020.03.002

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (c) 2020 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

引用

页码：282 / 292

页数：11

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