Parameter estimation with quantified uncertainty can be achieved using a Bayesian approach in the context of probabilistic epidemiological models. Bayes' theorem expresses the full probability distribution for model parameters, such as the effective reproduction number, R, in terms of the probabilistic epidemiological model [12] , given the time series for new cases. Specifically, the probability distribution of R, compatible with the observed temporal data stream is given by