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

抗微生物药物耐药性（AMR）正在成为世界范围内一个日益重要的话题，兽药的使用——特别是在农业部门——受到持续的审查。尽管收集和分析数据的方法远远落后于需求，但要求改革和减少抗微生物药物使用以遏制抗微生物药物耐药性趋势的政治压力仍在不断增加。通过跨学科合作，我们正在创建一个监测系统和研究数据平台，用于记录全英国范围内畜牧业的药物使用、疾病流行和抗菌素耐药性，并阐明其与伴侣动物和人类耐药性的关系。这一举措得到了政府、畜牧业和食品业的大力支持。我们已经从大型商业畜牧兽医实践中获得了完整的兽医记录和临床记录，从英国所有牛的实践管理系统中提取了数据，并包括实验室诊断以及数千个分离株的抗生素敏感性和全基因组测序。这项研究的目标是通过应用流行病学和感染模型来开发这些数据，以提取关于AMR发展和传播的新的生物学理解。这里的挑战包括，通过行业参与和监督，通过数据库的推理能力使利益相关者的要求合理化。将利用社会科学技术及时探讨农民、兽医、行业和政府之间的数据所有权和共享问题，这将有助于告知目前对这些类型的数据感兴趣并正在使用这些数据的所有利益相关者。将建立并广泛传播良好的治理实践。然后，经过验证的方法将被纳入我们的实时监控平台，以及与这些利益相关者共同创建的农民、兽医和行业的仪表板和可视化。行业的参与在任何时候都是至关重要的。该学生将支持该部门的数据驱动型经济，为兽医处方实践，农场管理实践以及供应链和政府抗菌药物管理政策的发展增加知识。

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.