Of the models which allowed infectivity to vary on 23 rd February, allowing only cattle infectivity variation gave a slightly better fit than varying sheep infectivity or both. However, of the models with parameters which vary on 23 rd February, the model variants which allow the 2 kernel parameters to vary at that time point fit substantially better (by both deviance and DIC criteria, see Table 1 ) than those which just allow a species-specific variation in infectivity. This is encouraging for the inference procedure, as the main control measure initiated on that date was the banning of (Figure 3a and Figure 3b ). The parameter estimates are less precise before 23 rd February (Table 1) due to the relatively small number of IPs (about 57) before that date. Looking at the most complex model (namely the interaction model with time varying kernel), cattle were estimated to be 5.7fold (4.6, 6.8) more susceptible than sheep (see Figure 3c and Table 1 ). Rather than mentioning animals' specific infectivity (see Figure 3d and Table 1 ), it is more informative to comment on the cattle:sheep infectivity ratio parameter for the most complex fit (this ratio does dot appear in the tables as it is not a model parameter). We calculated it within the MCMC algorithm as the ratio of the two species infectiousness for each sampled parameter point. The most complex model suggests that cattle are 5.95-fold (4.54, 7.63) more infectious than sheep (Figure 3e) .