Modeling and analysis of infectious diseases based on behavioral game theory on two-layered networks under media coverage
Jianrong Wang, Rong Zeng, Xinghua Chang
TL;DR
This paper uses game theory and two-layer networks to model how individual behavior and media coverage affect the spread of infectious diseases.
Contribution
A novel two-layer network model integrating behavioral game theory and media influence to study infectious disease dynamics.
Findings
Reducing personal protective costs increases the disease outbreak threshold.
Enhanced governmental adjustments to control measures effectively increase the outbreak threshold.
Individual attention to disease information significantly impacts disease spread dynamics.
Abstract
The spread of infectious diseases poses significant threats to public health, the economy, and society as a whole. Despite governmental control measures over individual behavior, the public might still be influenced by factors such as costs, expected benefits, and the behavior of others, leading to incomplete adherence to disease control measures. Therefore, this paper proposes a behavioral game theory based infectious disease model on two-layer networks. First, considering the dynamic interaction between individual awareness behavior and disease spreading, a two-layer coupled network of individual behavioral awareness and disease spreading is established. Second, game theory is used to describe the impact of relevant factors on individual awareness behavior. The first layer represents the individual protective behavior game layer, while the second layer represents the disease spreading…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques