An SIS epidemic model with individual variation

Abstract

We study an extension of the stochastic SIS (Susceptible-Infectious-Susceptible) model in continuous time that accounts for variation amongst individuals. By examining its limiting behaviour as the population size grows we are able to exhibit conditions for the infection to become endemic.

Keywords

• epidemics
• markov processes
• sis model
• limit theorems
• quasi stationarity