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.
@article{arxiv.1812.06964,
title = {An Agent-Based Model for Bovine Viral Diarrhea},
author = {Jason Bassett and Pascal Blunk and Thomas Isele and Jörn Gethmann and Philipp Hövel},
journal= {arXiv preprint arXiv:1812.06964},
year = {2018}
}