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CLC number: TP39; R18

On-line Access: 2014-04-10

Received: 2013-08-31

Revision Accepted: 2014-02-28

Crosschecked: 2014-03-17

Cited: 2

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Journal of Zhejiang University SCIENCE C 2014 Vol.15 No.4 P.265-274


Modeling dual-scale epidemic dynamics on complex networks with reaction diffusion processes

Author(s):  Xiao-gang Jin, Yong Min

Affiliation(s):  AI Institute in College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   xiaogangj@cise.zju.edu.cn, myong@zju.edu.cn

Key Words:  Worldwide trade networks, Foodborne diseases, Scale-free networks, Mean-field analysis

Xiao-gang Jin, Yong Min. Modeling dual-scale epidemic dynamics on complex networks with reaction diffusion processes[J]. Journal of Zhejiang University Science C, 2014, 15(4): 265-274.

@article{title="Modeling dual-scale epidemic dynamics on complex networks with reaction diffusion processes",
author="Xiao-gang Jin, Yong Min",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Modeling dual-scale epidemic dynamics on complex networks with reaction diffusion processes
%A Xiao-gang Jin
%A Yong Min
%J Journal of Zhejiang University SCIENCE C
%V 15
%N 4
%P 265-274
%@ 1869-1951
%D 2014
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1300243

T1 - Modeling dual-scale epidemic dynamics on complex networks with reaction diffusion processes
A1 - Xiao-gang Jin
A1 - Yong Min
J0 - Journal of Zhejiang University Science C
VL - 15
IS - 4
SP - 265
EP - 274
%@ 1869-1951
Y1 - 2014
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1300243

The frequent outbreak of severe foodborne diseases (e.g., haemolytic uraemic syndrome and Listeriosis) in 2011 warns of a potential threat that world trade could spread fatal pathogens (e.g., enterohemorrhagic Escherichia coli). The epidemic potential from trade involves both intra-proliferation and inter-diffusion. Here, we present a worldwide vegetable trade network and a stochastic computational model to simulate global trade-mediated epidemics by considering the weighted nodes and edges of the network and the dual-scale dynamics of epidemics. We address two basic issues of network structural impact in global epidemic patterns: (1) in contrast to the prediction of heterogeneous network models, the broad variability of node degree and edge weights of the vegetable trade network do not determine the threshold of global epidemics; (2) a ‘penetration effect’, by which community structures do not restrict propagation at the global scale, quickly facilitates bridging the edges between communities, and leads to synchronized diffusion throughout the entire network. We have also defined an appropriate metric that combines dual-scale behavior and enables quantification of the critical role of bridging edges in disease diffusion from widespread trading. The unusual structure mechanisms of the trade network model may be useful in producing strategies for adaptive immunity and reducing international trade frictions.


方法提亮:利用反应扩散过程(reaction-diffusion processes),本文提出的模型简洁而又清晰地描述了复杂网络上不同尺度的传播行为,包括节点内部的增殖过程以及网络尺度的扩散过程。同时,利用平均场分析方法(mean-field analysis),为相关模型找到了数学求解的途径,从而为探索多尺度传播过程中的突现等非线性行为找到一种方法。


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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