The spread of disease with birth and death on networks

被引:53
作者
Liu, JZ [1 ]
Tang, YF
Yang, ZR
机构
[1] Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, State Key Lab Sci & Comp, Beijing 100080, Peoples R China
来源
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2004年
关键词
dynamical heterogeneities (theory); models for evolution (theory); random graphs; networks; new applications of statistical mechanics;
D O I
10.1088/1742-5468/2004/08/P08008
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
We introduce a modified epidemic model on regular and scale-free networks. In this model, we consider the birth rate delta, cure rate gamma, infection rate lambda, and death rates alpha and beta. Through mean-field analysis, we find that on a regular network there is an epidemic threshold lambda(c) dependent on the parameters delta, gamma, alpha, and beta, while for a power law degree distribution network the epidemic threshold is absent in the thermodynamic limit. The result is the same as that of the standard SIS model. This reminds us that the structure of the networks plays a very important role in the spreading properties of infectious disease.
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页数:7
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