  We present an exhaustive description of a stochastic, event-driven,
hierarchical agent-based model designed to reproduce the infectious state of
the cattle disease called Bovine Viral Diarrhea, for which the livestock-trade
network is the main route of spreading. For the farm-node dynamics, it takes
into account a vast number of breeding, infectious and animal movement
mechanisms via a susceptible-infected-recovered type of dynamics with an
additional permanently infectious class. The interaction between the farms is
described by a supply-demand farm manager mechanism governing the network
structure and dynamics. The model includes realistic disease and breeding
dynamics and allows to study numerous mitigation strategies of present and past
government regulations, including different testing and vaccination scenarios.
