  In recent years the role of epidemic models in informing public health
policies has progressively grown. Models have become increasingly realistic and
more complex, requiring the use of multiple data sources to estimate all
quantities of interest. This review summarises the different types of
stochastic epidemic models that use evidence synthesis and highlights current
challenges.
