An emerging disease is one infectious epidemic caused by a newly transmissible pathogen,
which has either appeared for the first time or already existed in human populations, having …

We propose a new epidemic model considering the partial mapping relationship in a two-
layered time-varying network, which aims to study the influence of information diffusion on …

In this paper, we consider an SIRS epidemic model with vaccination on heterogeneous
networks. By constructing suitable Lyapunov functions, global stability of the disease-free …

Abstract Information propagation driven by the epidemic may cause individuals awareness
to change their behavior to prevent themselves from being infected, as we observed in …

In this Letter, we firstly propose an epidemic network model incorporating two controls which
are vaccination and treatment. For the constant controls, by using Lyapunov function, global …

Efficient allocation of limited medical resources is crucial for controlling epidemic spreading
on networks. Based on the susceptible-infected-susceptible model, we solve the …

The interplay between traffic dynamics and epidemic spreading on complex networks has
received increasing attention in recent years. However, the control of traffic-driven epidemic …

Despite extensive work on traffic dynamics and epidemic spreading on complex networks,
the vast majority of theoretical approaches assumes an identical infection rate for all nodes …

Random walk is one of the basic mechanisms of many network-related applications. In this
paper, we study the dynamics of epidemic spreading driven by biased random walks in …

Biological populations are rarely isolated in space and instead interact with others via
dispersal in metapopulations. Theory predicts that network connectivity patterns can have …