Abstract
Treatment of subclinical mastitis is traditionally no common practice. However, some veterinarians regard treatment of some types of subclinical mastitis to be effective. The goal of this research was to develop a stochastic Monte Carlo simulation model to support decisions around treatment of chronic subclinical mastitis caused by Streptococcus uberis. Factors in the model include, amongst others, the probability of spontaneous cure, probability of the cow becoming clinically diseased, transmission of infection to other cows, cure rate under treatment and physiological effects of the infection. The average economic damage (with basic input parameters for the Dutch circumstances) of an untreated chronic subclinical mastitis case caused by S. uberis is € 88. With a short (3 day) treatment, the average damage was higher. For the average cow, treatment is not economical efficient. Sensitivity analysis showed that this might depend on some specific cow and farm factors. Moreover, the spread of economic damage indicates that the risk of a high damage is much higher when a cow with chronic subclinical mastitis is not treated
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th Symmposium of the International Society for Veterinary Epidemiology and Economics : ISVEE 9, Breckenridge, Colorado, 2000 / M.D. Salman, Paul S. Morley and Rebecca Ruch-Gallie |
| Place of Publication | Cairns, Australia |
| Pages | 445-449 |
| Number of pages | 4 |
| Publication status | Published - 2006 |
Keywords
- dairy farming
- mastitis
- subclinical mastitis
- monte carlo method
- simulation models
- streptococcus uberis
- disease control