Markov models are mathematical frameworks used to model the progression of diseases over time. They are particularly useful in epidemiology for predicting the future states of health within a population based on current data. These models rely on the concept of Markov property, which assumes that the future state depends only on the present state and not on the sequence of events that preceded it.