The impact of information dissemination on vaccination in multiplex networks

The impact of information dissemination on epidemic control is essentially subject to individual behaviors. Vaccination one the most effective strategies against spread, whose correlation with should be better understood. To this end, we propose an evolutionary vaccination game model in multiplex networks by integrating information-epidemic spreading process into dynamics, and explore how influences vaccination. described a two-layer coupled susceptible-alert-infected-susceptible (SAIS) model, where strength coefficient between two layers characterizes tendency intensity dissemination. We find that decision-making depends not only cost network topology, but also stage system evolution. For instance, BA scale-free network, helps improve density at early evolution, as well when smaller. A counter-intuitive conclusion more transmission cannot promote obtained larger. Moreover, study sensitivity fraction infected individuals social cost, unveil role controlling epidemic.