Different Epidemic Models on Complex Networks

被引：4

作者：

Zhang Hai-Feng ^{[2
,3
,4
]}

Small, Michael ^{[4
]}

Fu Xin-Chu ^{[1
]}

机构：

[1] Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China

[2] Univ Sci & Technol China, Dept Modern Phys, Anhua 230026, Peoples R China

[3] Anhui Univ, Sch Math Sci, Hefei 230039, Peoples R China

[4] Hong Kong Polytech Univ Hung Hom, Elect & Informat Engn Dept, Kowloon, Hong Kong, Peoples R China

来源：

COMMUNICATIONS IN THEORETICAL PHYSICS | 2009年 / 52卷 / 01期

关键词：

epidemic threshold; scale-free network; diseases spreading; multiple-staged; infectivity rate; SCALE-FREE NETWORKS; TRANSMISSION;

D O I：

暂无

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Models for diseases spreading are not just limited to SIS or SIR. For instance, for the spreading of AIDS/HIV, the susceptible individuals can be classified into different cases according to their immunity, and similarly, the infected individuals can be sorted into different classes according to their infectivity. Moreover, some diseases may develop through several stages. Many authors have shown that the individuals' relation can be viewed as a complex network. So in this paper, in order to better explain the dynamical behavior of epidemics, we consider different epidemic models on complex networks, and obtain the epidemic threshold for each case. Finally, we present numerical simulations for each case to verify our results.

引用

页码：180 / 184

页数：5

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