Tick-borne diseases can be harmful to humans and animals. As regards animal health, bovine babesiosis is a recurrent threat to cattle herds. Investigating babesiosis spread and testing control measures represents therefore an important issue which is addressed here through a modelling approach. Modelling tick-borne disease requires coupling a tick (Ixodes ricinus) population dynamics with a pathogen (here the protozoan Babesia divergens) spread model. Based on a previously developed model for the former purpose, this study focuses on the model that describes the pathogen spread in a dairy herd through the relevant processes. Simulated prevalences in ticks and cattle indicate that the model allows a realistic representation of the pathogen spread. Based on simulation findings, increasing deer densities generates a marked increase in prevalence whereas increasing cattle stocking rate has a small opposite effect. The simulated regular use of acaricides results in a strong reduction in pathogen prevalence