Outputs (3)

An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management (2019)
Journal Article
Enticott, G., Maye, D., Naylor, R., Brunton, L. A., Downs, S. H., & Donnelly, C. A. (2019). An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management. Vaccine, 38(5), 1065-1075. https://doi.org/10.1016/j.vaccine.2019.11.037

This paper analyses farmers’ behavioural responses to Government attempts to reduce the risk of disease transmission from badgers to cattle through badger vaccination. Evidence for two opposing behavioural adaptions is examined in response to the vac... Read More about An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management.

Exploring the Risk Posed by Animals with An Inconclusive Reaction to the Bovine Tuberculosis Skin Test in England and Wales (2019)
Journal Article
May, E., Prosser, A., Downs, S. H., & Brunton, L. A. (2019). Exploring the Risk Posed by Animals with An Inconclusive Reaction to the Bovine Tuberculosis Skin Test in England and Wales. Veterinary Sciences, 6(4), 97. https://doi.org/10.3390/vetsci6040097

The single intradermal comparative cervical tuberculin (SICCT) test is the primary test for ante-mortem diagnosis of bovine tuberculosis (TB) in England and Wales. When an animal is first classified as an inconclusive reactor (IR) using this test, it... Read More about Exploring the Risk Posed by Animals with An Inconclusive Reaction to the Bovine Tuberculosis Skin Test in England and Wales.

Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making (2019)
Journal Article
Romero, M. P., Chang, Y. M., Brunton, L. A., Parry, J., Prosser, A., Upton, P., Rees, E., Tearne, O., Arnold, M., Stevens, K., & Drewe, J. A. (2019). Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making. Preventive Veterinary Medicine, https://doi.org/10.1016/j.prevetmed.2019.104860

Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds is critical for the control of this disease. Exploratory machine learning techniques can uncover complex non-linear relationships and interactions wit... Read More about Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.