Probabilistic models of contagion A probabilistic description is crucial for realistic modelling of new cases of emerging infectious diseases, which are typically characterized by large coefficients of variation. This probabilistic description is achieved, as in [33] , by defining the number of new cases, DT(t+t) as a stochastic discrete variable generated by a probability distribution with average number of cases given by [10] , i.e.