Spatial epidemiology of networked metapopulation: an overview

被引:141
作者
Wang, Lin [1 ,2 ]
Li, Xiang [1 ]
机构
[1] Fudan Univ, Dept Elect Engn, Adapt Networks & Control Lab, Shanghai 200433, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Ctr Chaos & Complex Networks, Hong Kong, Hong Kong, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2014年 / 59卷 / 28期
基金
高等学校博士学科点专项科研基金;
关键词
Complex networks; Epidemiology; Spatial dynamics; Metapopulation; SELF-ORGANIZED CRITICALITY; INFLUENZA-A H7N9; INTERNATIONAL SPREAD; MOBILITY PATTERNS; HUMAN INFECTION; COMPLEX; TRANSMISSION; VACCINES; SYSTEMS; IMPACT;
D O I
10.1007/s11434-014-0499-8
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
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging diseases may trigger large-scale pandemic spreading, such as the transnational spreading of SARS, the global outbreak of A(H1N1), and the recent potential invasion of avian influenza A(H7N9). To study the dynamics mediating the transmission of emerging diseases, spatial epidemiology of networked metapopulation provides a valuable modeling framework, which takes spatially distributed factors into consideration. This review elaborates the latest progresses on the spatial metapopulation dynamics, discusses empirical and theoretical findings that verify the validity of networked metapopulations, and the sketches application in evaluating the effectiveness of disease intervention strategies as well.
引用
收藏
页码:3511 / 3522
页数:12
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