On a Discrete-Time Networked SIV Epidemic Model With Polar Opinion Dynamics

• Published in: IEEE transactions on network science and engineering 2024-11, Vol.11 (6), p.6636-6651
• Main Authors: Xu, Qiulin, Ishii, Hideaki
• Format: Article
• Language: English
• Subjects: COVID-19; Diseases; Epidemic spreading; Epidemics; Immune system; multi-agent system; Numerical models; opinion dynamics; polar opinions; Public health; Public healthcare; Social networking (online); Social networks; Stability; susceptible-infected-vigilant model
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2024.3464852

This paper studies novel epidemic spreading problems influenced by opinion evolution in social networks, where the opinions reflect the public health concerns. A coupled bilayer network is proposed, where the epidemics spread over several communities through a physical network layer while the opinions evolve over the same communities through a social network layer. The epidemic spreading process is described by a susceptible-infected-vigilant (SIV) model, which introduces opinion-dependent epidemic vigilance state compared with the classical epidemic models. The opinion process is modeled by a polar opinion dynamics model, which includes infection prevalence and human stubbornness into the opinion evolution. By introducing an opinion-dependent reproduction number, we analyze the stability of disease-free and endemic equilibria and derive sufficient conditions for their global asymptotic stability. We also discuss the mutual effects between epidemic eradication and opinion consensus, and the possibility of suppressing the epidemic spreading by intervening in the opinions or implementing public health strategies. Simulations are conducted to verify the theoretical results and demonstrate the feasibility of epidemic suppression.