ABSTRACT
Understanding the persistence of infections like measles is fundamentally important to the implementation of vaccination programs. Despite the success of deterministic models at qualitatively predicting measles epidemics, stochastic simulations have vastly under-estimated the persistence. We review recent work on three main modifications to models which can explain this phenomenon.