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

抗菌素耐药性(AMR)正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。要求改革和减少抗菌药使用以遏制AMR浪潮的政治压力继续增加，尽管收集和分析数据的方法远远落后于需求。通过跨学科的合作，我们正在创建一个监测系统和研究数据平台，用于在英国范围内记录牛行业的药物使用、疾病流行和AMR，并阐明其与伴随的动物和人类耐药性的关系。这一倡议得到了政府以及畜牧业和食品业的大力支持。我们已经获得了大型商业牲畜兽医实践的完整兽医记录和临床笔记，从英国50%的牛的实践管理系统中提取数据，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。这个项目的目的是通过流行病学和感染模型的应用来利用这些数据，以获取关于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，使利益相关者的要求与数据库的推理能力合理化。将利用社会科学技术探讨农民、兽医、行业和政府之间数据所有权和共享的及时问题，这将有助于向目前对这些类型的数据感兴趣和正在使用这些数据的所有利益攸关方提供信息。将建立并广泛传播善政做法。然后，经过验证的方法将被重新纳入我们的实时监控平台，以及针对农民、兽医和行业的仪表板和可视化，这些将与这些利益相关者共同创建。在任何时候，行业的参与都将是至高无上的。这个学生将巩固这个领域的数据驱动型经济，增加兽医处方实践、农场管理实践以及供应链和政府抗菌管理政策发展的知识。

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.