doi:10.12202/j.0476-0301.2020294陈清华^{1, 2},
李小萌¹,
沈忱²,
YaneerBAR-YAM^2,,
1.北京师范大学系统科学学院，100875，北京
2.新英格兰复杂系统研究所，02139，剑桥，马萨诸塞州，美国
基金项目:国家自然科学基金资助项目（71701018）；教育部人文社会科学研究项目（20YJAZH010）；2019中国国家留学基金资助项目

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通讯作者:Yaneer BAR-YAM（1959—），男，美国人，教授，博士生导师. 研究方向：复杂系统理论及其应用. e-mail：yaneer@necsi.edu

中图分类号:N949

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出版历程

收稿日期:2020-11-09
网络出版日期:2021-01-09
刊出日期:2020-12-01

Multi-scale characteristics of contagion and systematic prevention and control of its infection —analysis of COVID-19 epidemic

Qinghua CHEN^{1, 2},
Xiaomeng LI¹,
Chen SHEN²,
BAR-YAM Yaneer^2,,
1. School of Systems Science, Beijing Normal University, 100875, Beijing, China
2. New England Complex Systems Institute, 02139, Cambridge, Massachusetts, USA



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摘要
摘要:从复杂系统科学角度出发，基于系统组元的相互作用和复杂度曲线，揭示了传染病暴发的复杂性及其多尺度特征；依据多尺度必要多样性法则，探讨了从个人到群体可行的系统性防控手段．结果表明：只有通过个人、群体、国家之间的合作互助，才能做好 COVID-19 全球性应对、构建有效应对传染病的韧性世界.
关键词:复杂系统科学/
传染病/
多尺度/
复杂度曲线/
韧性
Abstract:Interactions between system components and complexity profile were analyzed from the perspective of complex system science to reveal the complexity and multiscale characteristics of infectious disease outbreak．The multiscale law of requisite variety was applied to explore systematic preventive measures at individuals to communities levels．The mutual assistance of individuals, communities and countries are suggested to be most helpful to build an effective mitigation effort to the global COVID-19 pandemic．
Key words:complex systems science/
infectious disease/
multi-scale/
complexity profile/
resilience