FARM interventions to Control Antimicrobial ResistancE

主要的农场护理项目侧重于探索控制抗菌素耐药性(AMR)在养猪场传播的技术。猪是农场动物抗菌素使用(AMU)的主要贡献者，也是农场工人、社区和环境公认的AMR来源。该项目建立在这样一个既定概念的基础上，即压力是导致猪疾病的主要驱动因素，而猪疾病反过来又会导致AMU。我们的假设是，AMR的传播可以通过首先限制混合的常见做法来控制，这是公认的猪压力和疾病的原因，其次，通过应用生物安全措施来防止AMR向农场工人和社区传播。我们的目标是了解这两种干预措施对AMU和AMR减少的影响，并基于机器学习开发两种互补的干预措施。该项目将从农民、环境和更广泛的社会的角度评估每项干预措施的成本效益。英国团队将专注于使用面部成像来检测高风险仔猪，并探索元基因组学和与断奶后腹泻相关的元数据的模式。FARM-CARE是一个多行动者项目，涉及三所高等教育机构、三个公共组织和一家私营公司，其建立的国家和国际网络将促进传播和利益相关者的参与。每个合作伙伴都有一个或多个专业领域，具有明确定义的角色和职责。代表哥伦比亚90%以上养猪户的LMIC合作伙伴的参与将使人们能够评估不同生产环境下的养猪场干预措施，并提供该国的能力建设。

The main FARM-CARE project focuses on exploring techniques for controlling the spread of antimicrobial resistance (AMR) in pig farms. Pigs are the main contributor to antimicrobial use (AMU) in farm animals and a recognized source of AMR to farm workers, the community and the environment. The project builds upon the established notion that stress is a major driver for pig disease, which in turn contributes to AMU. Our hypothesis is that AMR spread can be controlled by firstly limiting the common practice of mixing, which is a recognized cause of stress and disease in pigs, and secondly, by applying biosecurity measures to prevent AMR transmission to farm workers and the community. We aim to understand the impact of these two interventions on AMU and AMR reduction, and to develop two complementary interventions based on machine learning. The project will assess the cost-effectiveness of each intervention from the perspective of the farmers, the environment and the wider society. The UK team will focus on detecting high-risk piglets using facial imaging and exploring patterns in metagenomics and metadata associated with post-weaning diarrhoea.FARM-CARE is a multi-actor project involving three higher education institutions, three public organisations, and one private company with established national and international networks that will facilitate dissemination and stakeholder involvement. Each partner brings one or more areas of expertise with clearly defined roles and responsibilities. Participation by an LMIC partner, that represents over 90% of pig farmers in Colombia, will allow assessment of the farm interventions in a different production setting and offer capacity building in this country.