Effects of awareness diffusion and self-initiated awareness behavior on epidemic spreading - an approach based on multiplex networks
Jia-Qian Kan, Hai-Feng Zhang

TL;DR
This study models how awareness diffusion and self-initiated behaviors in multiplex networks influence epidemic spreading, revealing that awareness can reduce infection density but does not necessarily raise the epidemic threshold, contrasting previous findings.
Contribution
It introduces a multiplex network model incorporating self-awareness and diffusion of awareness, highlighting their effects on epidemic dynamics and thresholds.
Findings
Self-awareness reduces infection density.
Awareness diffusion affects epidemic threshold.
Network structures influence epidemic outcomes.
Abstract
In this paper, we study the interplay between the epidemic spreading and the diffusion of awareness in multiplex networks. In the model, an infectious disease can spread in one network representing the paths of epidemic spreading (contact network), leading to the diffusion of awareness in the other network (information network), and then the diffusion of awareness will cause individuals to take social distances, which in turn affects the epidemic spreading. As for the diffusion of awareness, we assume that, on the one hand, individuals can be informed by other aware neighbors in information network, on the other hand, the susceptible individuals can be self-awareness induced by the infected neighbors in the contact networks (local information) or mass media (global information). Through Markov chain approach and numerical computations, we find that the density of infected individuals…
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