Dynamic stochastic simulation as a tool for studying bovine virus diarrhoea virus infections at the herd level.
Infectious diseases, such as bovine virus diarrhoea (BVD) virus infections in cattle, are often studied by Markov chain models. However, it is difficult to simulate dynamic interactions between production of a reproductive herd and the disease by this type of model. As an alternative, a dynamic stochastic model simulating the herd production was suggested. A dynamic stochastic model simulating the effect of BVD virus infection in a dairy cattle herd was used to exemplify how this type of model could be applied in research. The simulation example demonstrated that the effect of a BVD virus infection depended on the characteristics of the individual herd.
Sørensen
J T
JT
National Institute of Animal Science, Tjele, Denmark.
Enevoldsen
C
C
D000818:Animals; D001912:Bovine Virus Diarrhea-Mucosal Disease / Q000191:economics / Q000453:epidemiology*; D002417:Cattle; D003198:Computer Simulation; D005260:Female; D007182:Income; D015233:Models, Statistical; D011247:Pregnancy; D011251:Pregnancy Complications, Infectious / Q000191:economics / Q000453:epidemiology / Q000662:veterinary*; D013269:Stochastic Processes