A stochastic model for simulation of the economic consequences of bovine virus diarrhoea virus infection in a dairy herd

TY - JOUR

T1 - A stochastic model for simulation of the economic consequences of bovine virus diarrhoea virus infection in a dairy herd

AU - Sørensen, J.T.

AU - Enevoldsen, Carsten

AU - Houe, H.

PY - 1995/6/1

Y1 - 1995/6/1

N2 - A dynamic, stochastic model simulating the technical and economic consequences of bovine virus diarrhoea virus (BVDV) infections for a dairy cattle herd for use on a personal computer was developed. The production and state changes of the herd were simulated by state changes of the individual cows and heifers. All discrete events at the cow level were triggered stochastically. Each cow and heifer was characterized by state variables such as stage of lactation, parity, oestrous status, decision for culling, milk production potential, and immune status for BVDV. The model was controlled by 170 decision variables describing biologic and management variables including 21 decision variables describing the effect of BVDV infection on the production of the individual animal. Two markedly different scenarios were simulated to demonstrate the behaviour of the developed model and the potentials of the applied modelling principle. The validation problem in relation to the model was discussed. A comparison between real and simulated data using data from a published case report was shown to illustrate how user acceptance can be obtained.

AB - A dynamic, stochastic model simulating the technical and economic consequences of bovine virus diarrhoea virus (BVDV) infections for a dairy cattle herd for use on a personal computer was developed. The production and state changes of the herd were simulated by state changes of the individual cows and heifers. All discrete events at the cow level were triggered stochastically. Each cow and heifer was characterized by state variables such as stage of lactation, parity, oestrous status, decision for culling, milk production potential, and immune status for BVDV. The model was controlled by 170 decision variables describing biologic and management variables including 21 decision variables describing the effect of BVDV infection on the production of the individual animal. Two markedly different scenarios were simulated to demonstrate the behaviour of the developed model and the potentials of the applied modelling principle. The validation problem in relation to the model was discussed. A comparison between real and simulated data using data from a published case report was shown to illustrate how user acceptance can be obtained.

UR - http://www.scopus.com/inward/record.url?scp=33645241382&partnerID=8YFLogxK

M3 - Journal article

AN - SCOPUS:33645241382

SN - 0167-5877

VL - 23

SP - 215

EP - 227

JO - Preventive Veterinary Medicine

JF - Preventive Veterinary Medicine

IS - 3-4

ER -