  The impact of information dissemination on epidemic control is essentially
subject to individual behaviors. Unlike information-driven behaviors,
vaccination is determined by many cost-related factors, whose correlation with
the information dissemination should be better understood. To this end, we
propose an evolutionary vaccination game model in multiplex networks by
integrating an information-epidemic spreading process into the vaccination
dynamics, and explore how information dissemination influences vaccination. The
spreading process is described by a two-layer coupled
susceptible-alert-infected-susceptible (SAIS) model, where the strength
coefficient between two layers is defined to characterize the tendency and
intensity of information dissemination. We find that information dissemination
can increase the epidemic threshold, however, more information transmission
cannot promote vaccination. Specifically, increasing information dissemination
even leads to a decline of the vaccination equilibrium and raises the final
infection density. Moreover, we study the impact of strength coefficient and
individual sensitivity on social cost, and unveil the role of information
dissemination in controlling the epidemic with numerical simulations.
