Answering key questions around One Health antimicrobial resistance using a new livestock research data platform

Lead Research Organisation: University of Bristol
Department Name: Clinical Veterinary Science

Abstract

Antimicrobial resistance (AMR) is becoming an increasingly important topic worldwide, and veterinary medicines use
- particularly in the agricultural sector - has come under sustained scrutiny. Growing political pressure to reform and
reduce antimicrobial use in order to stem the tide of AMR continues to build, although methods of collecting and
analysing data are far behind demand. Through interdisciplinary collaborations, we are creating a surveillance system
and research data platform for UK-wide recording of medicines use, disease prevalence and AMR in the cattle sector,
as well as elucidating its relationship with companion animal and human resistance. This initiative has generated
substantial buy-in from government and the livestock and food industries. We have already gained access to the
complete veterinary records and clinical notes from large commercial livestock veterinary practices, have extracted
data from practice management systems of >50% of all cattle in the UK and have included laboratory diagnostics as
well as antibiotic susceptibility for thousands of isolates and whole genome sequencing.
The objective of this studentship is to exploit these data through application of epidemiology and infection modelling
to extract new biological understanding about the development and transmission of AMR. Challenges here include,
through industry engagement and supervision, the rationalisation of stakeholder requirements with the inferential
capacity of the databank. Timely questions of ownership and sharing of data between farmers, veterinarians, the
industry and government will be explored using social science techniques which will help inform all stakeholders
currently interested in and are using these types of data. Good governance practices will be established and
communicated widely. Validated methods will then be incorporated back into our real-time surveillance platform,
together with dashboards and visualisations for farmers, veterinarians and industry which will be co-created alongside
these stakeholders. Engagement of the industry will be paramount at all times. This student will underpin the data-
driven economy in this sector, adding knowledge to veterinarian prescribing practice, farm management practice and
the development of supply chain and government antimicrobial stewardship policies.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
BB/T008741/1 01/10/2020 30/09/2028
2593492 Studentship BB/T008741/1 01/10/2021 30/09/2025 Elliott Stanton