Lucy Brunton

Lecturer in molecular epidemiology

Royal Veterinary College

United Kingdom

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Lucy Brunton is a Lecturer in Molecular Epidemiology at the Royal Veterinary College in the UK. Her research areas include antimicrobial usage in agriculture, zoonotic diseases, and the application of machine learning techniques to enhance disease management in livestock. Recent publications highlight her work on antibiotic resistance in farm animals, particularly in the context of both the UK and low- to middle-income countries.

Articles (10)

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (4)

Kimberley Ward

University of Plymouth

UNITED KINGDOM

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Gareth Enticott

Professor of Human Geography

Cardiff University

UNITED KINGDOM

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Eleanor M Rees

University of Glasgow

UNITED KINGDOM

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Richard Kock

Professor Wildlife Health and Emerging Diseases

Royal Veterinary College - Hawkshead Campus

UNITED KINGDOM

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Lucy Brunton

Research Interests

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Articles (10)

Antimicrobial usage in farm animal practices in the UK: A mixed-methods approach

Molecular characterization of extended spectrum cephalosporin resistant Escherichia coli isolated from livestock and in-contact humans in Southeast Nigeria

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

Zoonotic Tuberculosis – The Changing Landscape

Systems-thinking approach to identify and assess feasibility of potential interventions to reduce antibiotic use in tilapia farming in Egypt

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

An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management

Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making

Collaborators (4)

Kimberley Ward

Gareth Enticott

Eleanor M Rees

Richard Kock

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