Abstract

The effect of random slaughter and meat inspection as a tool to detect or eradicate tuberculosis in large, extensive deer herds in Sweden was evaluated. A computer spreadsheet model based on the Reed–Frost method was developed. Numbers of new infections and of infected deer slaughtered as well as probability of detecting tuberculosis or slaughtering all infected deer in a herd, were simulated. The model predicted that, given a 20% annual slaughter and that disease was introduced with one infected deer, the infection would be detected or eliminated in most herds (90%) after 15 years

Keywords

Deer; Mycobacterium bovis; Tuberculosis; Modelling; Transmission; Zoonoses; Meat inspection

Published in

Preventive Veterinary Medicine
2000, volume: 43, number: 2, pages: 103-116

Authors' information