Epidemic spread in bipartite network by considering risk awareness

被引：9

作者：

She, Han ^{[1
]}

Mei, Sun ^{[1
]}

Ampimah, Benjamin Chris ^{[1
]}

Dun, Han ^{[1
]}

机构：

[1] Jiangsu Univ, Inst Appl Syst Anal, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 492卷

基金：

中国国家自然科学基金;

关键词：

Human awareness; Infectious diseases; Bipartite network; Epidemic threshold; NONLINEAR INCIDENCE RATES; GLOBAL STABILITY; MODEL;

D O I：

10.1016/j.physa.2017.11.107

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Human awareness plays an important role in the spread of infectious diseases and the control of propagation patterns. Exploring the interplay between human awareness and epidemic spreading is a topic that has been receiving increasing attention. Considering the fact, some well-known diseases only spread between different species we propose a theoretical analysis of the Susceptible-Infected-Susceptible (SIS) epidemic spread from the perspective of bipartite network and risk aversion. Using mean field theory, the epidemic threshold is calculated theoretically. Simulation results are consistent with the proposed analytic model. The results show that, the final infection density is negative linear with the value of individuals' risk awareness. Therefore, the epidemic spread could be effectively suppressed by improving individuals' risk awareness. (C) 2017 Published by Elsevier B.V.

引用

页码：1909 / 1916

页数：8

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