The spread of an epidemic disease and the population's collective behavioral response are
deeply intertwined, influencing each other's evolution. Such a co-evolution typically has …

We present a dynamic population game model to capture the behavior of a large population
of individuals in presence of an infectious disease or epidemic. Individuals can be in one of …

In this article, we study the interplay between epidemic dynamics and human decision-
making for epidemics that involve reinfection risk; in particular, the susceptible–infected …

We investigate the evolution of epidemics over dynamical networks when nodes choose to
interact with others in a selfish and decentralized manner. Specifically, we analyze the …

We study a susceptible-infected-recovered (SIR) epidemic model on a network of interacting
subpopulations. We analyze the transient and asymptotic behavior of the infection dynamics …

A major factor contributing to the difficulties in epidemic forecasting is the unpredictable
nature of the population behavior that can either mitigate or exacerbate the spread of a …

We consider a dynamic game setting in which a large population of strategic individuals
decides whether to adopt protective measures to protect themselves against an infectious …

In this article, we study susceptible–infected–susceptible (SIS) epidemic spreading models
under population dispersal on multilayer networks. We consider a patchy environment in …

We consider the class of SIS epidemic models in which a large population of individuals
chooses whether to adopt protection or to remain unprotected as the epidemic evolves. For …

The robustness of human social networks against epidemic propagation relies on the
propensity for physical contact adaptation. During the early phase of infection, asymptomatic …