Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy

被引：23
|
作者：
Liu, Rui [1 ,2 ]
Zhong, Jiayuan [1 ]
Hong, Renhao [1 ]
Chen, Ely [3 ]
Aihara, Kazuyuki [4 ]
Chen, Pei [1 ]
Chen, Luonan [5 ,6 ,7 ,8 ]
机构：
[1] South China Univ Technol, Sch Math, Guangzhou 510640, Peoples R China
[2] Pazhou Lab, Guangzhou 510330, Peoples R China
[3] Stanford Univ, Stanford, CA 94305 USA
[4] Univ Tokyo, Int Res Ctr Neurointelligence, Tokyo 1138654, Japan
[5] Chinese Acad Sci, Ctr Excellence Mol Cell Sci, Shanghai Inst Biochem & Cell Biol, State Key Lab Cell Biol, Shanghai 200031, Peoples R China
[6] Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China
[7] Chinese Acad Sci, Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Key Lab Syst Biol, Hangzhou 310024, Peoples R China
[8] ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China
来源：
SCIENCE BULLETIN | 2021年 / 66卷 / 22期
基金：
日本学术振兴会; 日本科学技术振兴机构; 国家重点研发计划; 中国国家自然科学基金;
关键词：
D O I：
10.1016/j.scib.2021.03.022
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
[No abstract available]
引用
收藏
页码：2265 / 2270
页数：6
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