All Outputs (10)

Assessing antibiotic usage data capture accuracy on dairy farms in England and Wales (2023)
Journal Article
Strang, C., Alarcon, P., Cardwell, J., & Brunton, L. (2023). Assessing antibiotic usage data capture accuracy on dairy farms in England and Wales. Veterinary Record, https://doi.org/10.1002/vetr.3505

Background: Accurate farm-level data on antibiotic usage (ABU) are needed for surveillance of antibiotic resistance. The study aim was to determine the accuracy of ABU data capture by dairy farmers in South West England and Wales. Methods: Through a... Read More about Assessing antibiotic usage data capture accuracy on dairy farms in England and Wales.

Molecular Characterization of Extended-Spectrum β-Lactamase Producing Multidrug-Resistant Escherichia coli isolates from Livestock and in-contact Humans in Southeast Nigeria (2022)
Journal Article
Brunton, L., Olorunleke, S., Kirchner, M., Duggett, N., AbuOun, M., Okorie-Kanu, O., …Anjum, M. (2022). Molecular Characterization of Extended-Spectrum β-Lactamase Producing Multidrug-Resistant Escherichia coli isolates from Livestock and in-contact Humans in Southeast Nigeria. Frontiers in Microbiology, https://doi.org/10.3389/fmicb.2022.937968

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.

Typology of interventions for antimicrobial use and antimicrobial resistance in aquaculture systems in low- and middle-income countries (2021)
Journal Article
Garza, M., Mohan, C. V., Brunton, L., Wieland, B., & Häsler, B. (2021). Typology of interventions for antimicrobial use and antimicrobial resistance in aquaculture systems in low- and middle-income countries. International Journal of Antimicrobial Agents, 106495. https://doi.org/10.1016/j.ijantimicag.2021.106495

Systems-thinking approach to identify and assess feasibility of potential interventions to reduce antibiotic use in tilapia farming in Egypt (2021)
Journal Article
Desbois, A., Garza, M., Eltholth, M., Hegazy, Y., Mateus, A., Adams, A., …Brunton, L. (in press). Systems-thinking approach to identify and assess feasibility of potential interventions to reduce antibiotic use in tilapia farming in Egypt. Aquaculture,

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..

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., …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.