An SIS epidemic model with individual variation.
Mathematical biosciences and engineering : MBE（2024）
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.
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