Social Network-Based Epidemic Spread With Opinion-Dependent Vaccination

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-06-18 DOI:10.1109/LCSYS.2024.3416243
Sourav Bhowmick;N. Selvaganesan
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Abstract

In this letter, an epidemic dynamical model driven by perceived disease severity opinion in societies is investigated along with its various dynamical characteristics. More specifically, the epidemic model namely Susceptible-Infected-Recovered-Vaccinated (SIRV) is considered over a transmission network, while the opinion reflecting the perceived disease risk evolves over a social network. In particular, the global and the local stability conditions of the disease-free equilibrium (DFE), i.e., there is no disease in the network, have been investigated, wherein the local stability is revealed to be linked with the basic reproduction rate and the transverse (non-zero) eigenvalues of the Jacobian evaluated at the DFE points. Moreover, the local stability analysis of the endemic equilibrium (EE), i.e., where disease persists in the network, has been investigated. The simulation results verify the theoretical methods.
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基于社交网络的流行病传播与舆论依赖性疫苗接种
在这封信中,我们研究了一种由社会中感知到的疾病严重性观点驱动的流行病动态模型及其各种动态特征。更具体地说,该流行病模型即 "易感-感染-恢复-接种(SIRV)"是在一个传播网络上考虑的,而反映疾病风险的舆论则是在一个社会网络上演化的。特别是,研究了无疾病平衡(DFE)(即网络中没有疾病)的全局和局部稳定性条件,发现局部稳定性与基本繁殖率和在 DFE 点评估的雅各布横向(非零)特征值有关。此外,还研究了地方病平衡(EE)的局部稳定性分析,即疾病在网络中持续存在的情况。模拟结果验证了理论方法。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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