Our objective is to cast standard SIR-class models in a form that directly relates to time series data of emerging infectious diseases by i) accounting for cases from reservoir sources, ii) casting the model variables in terms of observable quantities reported from field surveillance, iii) formulating the model in a discrete probabilistic form, and iv) quantifying uncertainty in the estimation of epidemiological parameters and future cases, and assimilate new data to reduce it.