  We present a method for estimating epidemic parameters in network-based
stochastic epidemic models when the total number of infections is assumed to be
small. We illustrate the method by reanalyzing the data from the 2014
Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et
al. (2014).
