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All Outputs (6)

Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England (2021)
Journal Article
Romero, M. P., Chang, Y., Brunton, L. A., Parry, J., Prosser, A., Upton, P., & Drewe, J. A. (2021). Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England. Preventive Veterinary Medicine,

Bovine tuberculosis (bTB) remains one of the most complex, challenging, and costly animal health problems in England. Identifying and promptly removing all infected cattle from affected herds is key to its eradication strategy; the imperfect sensitiv... Read More about Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England.

Zoonotic tuberculosis — The changing landscape (2021)
Journal Article
Kock, R., Kock, R., Michel, A. L., Haider, N., Yeboah-Manu, D., Brunton, L., …Zumla, A. (2021). Zoonotic tuberculosis — The changing landscape. International Journal of Infectious Diseases, https://doi.org/10.1016/j.ijid.2021.02.091

Despite slow reductions in the annual burden of active human tuberculosis (TB) cases, zoonotic TB (zTB) remains a poorly monitored and an important unaddressed global problem. There is a higher incidence in some regions and countries, especially wh... Read More about Zoonotic tuberculosis — The changing landscape.

A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England (2021)
Journal Article
Romero, M. P., Pilar Romero, M., Chang, Y., Brunton, L. A., Prosser, A., Upton, P., …Drewe, J. A. (2021). A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England. Preventive Veterinary Medicine,

Nearly a decade into Defra’s current eradication strategy (Defra, 2014, 2011), bovine tuberculosis (bTB) remains a serious animal health problem in England, with c.30,000 cattle slaughtered annually in the fight against this insidious disease. There... Read More about A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England.

Mapping the geography of disease: a comparison of epidemiologists' and field-Level experts' disease maps. (2021)
Journal Article
Enticott, G., Ward, K., Ashton, A., Brunton, L., & Broughan, J. (2021). Mapping the geography of disease: a comparison of epidemiologists' and field-Level experts' disease maps. Applied Geography, 126, https://doi.org/10.1016/j.apgeog.2020.102356

This paper examines differences between expert and field-level experts' assessments of the geography of animal disease. Mapping the geographical spread and prevalence of disease is central to attempt to reduce disease incidence and encourage preventi... Read More about Mapping the geography of disease: a comparison of epidemiologists' and field-Level experts' disease maps..