Tackling bottlenecks to the use of data for enhanced Johne's Disease control

约翰氏病已被英国奶农评为影响生产力的头号地方病。它会引起慢性疾病，这种疾病会逐渐恶化，并在整个牛群中传播。为了有效地应对这种疾病，兽医诊所和农民需要优化现有数据的使用，同时对其牛群进行基于证据的风险评估。我们的多学科项目旨在利用现有的数据来源和试验环境采样进行风险评估，以加强约翰氏病的控制。我们的具体问题是：1。什么因素可以解释约翰在控制牛群时的成功差异？（WP 1）2.农民和兽医参与使用疾病检测数据的主要瓶颈是什么？解决方案是什么？（WP 1）3.为什么有些兽医诊所在控制客户群中的疾病方面比其他诊所明显更成功？（WP 1）4.农民采取的哪些措施最有可能与成功控制感染有关？（WP 1）5.在农场风险评估中确定的哪些风险因素与感染的存在相关？（WP 2）6.环境抽样作为估计感染或免于感染的可能性的一种手段，其可信度是多少？（WP2）这项提案汇集了来自英国各地的独特的多学科团队，以解决约翰氏病。它将农民（Abi Reader，项目合作伙伴）与约翰病控制方面的兽医专业知识（Peter Orpin，分包商）、数据管理专家（James Hanks，分包商）、利益相关者参与专家（大卫罗斯）、兽医流行病学家（Abel Ekiri）和兽医微生物学家（Nick Wheelhouse）结合起来。在北方爱尔兰，AHWNI领导约翰氏病的控制。该提案将在联合王国的每个国家发挥作用。Strain（分包商和项目合作伙伴），AHWNI的首席执行官，通过管理NI控制计划和参与全岛（爱尔兰）感染技术工作组，长期参与约翰病控制。这项研究的结果将确定相关的牛群风险因素和生物标志物，用于预测约翰氏病的风险。随后，在12个月后的下一阶段，这些数据将用于开发预测模型和实用且具有成本效益的监测工具，用于Johne在畜群水平上的风险评估。

Johne's disease has been rated by dairy farmers in the UK as the number one endemic disease affecting productivity. It causes chronic illness, which progressively, worsens and can spread throughout the herd. To tackle the disease effectively, vet practices and farmers need to optimise the use of existing data, whilst also making evidence-based risk assessments about their herds. Our multi-disciplinary project aims to make use of existing data sources and trial environmental sampling for risk assessments with the aim of enhancing Johne's Disease control. Our specific questions are:1. What factors explain the differences in the success of Johne's control between herds? (WP1)2. What are the major bottlenecks to farmer and veterinarian engagement in using disease test data and what are the solutions? (WP1)3. Why are some veterinary practices markedly more successful in controlling the disease in their client base than other practices? (WP1)4. What measures undertaken by farmers are most likely to be associated with successful control in infection? (WP1)5. What risk factors identified in on-farm risk assessments are associated with the presence of infection? (WP2)6. What level of confidence would environmental sampling give as a means of estimating the probability of infection or freedom from infection? (WP2)This proposal brings together a uniquely multidisciplinary team from across the UK to tackle Johne's disease. It combines a farmer (Abi Reader, project partner) with veterinary expertise in Johne's disease control (Peter Orpin, sub-contractor), specialists in data management (James Hanks, subcontractor), a stakeholder engagement specialist (David Rose), a veterinary epidemiologist (Abel Ekiri) and a veterinary microbiologist (Nick Wheelhouse). Within Northern Ireland AHWNI leads on the control of Johne's Disease. The proposal will work in each country of the United Kingdom. Strain (subcontractor and project partner), CEO of AHWNI has a long-standing involvement with Johne's Disease control through managing the NI control programme and his involvement in the all-island (Ireland) Technical Working Group for the infection. Findings from this study will identify relevant herd risk factors and biomarkers to use for prediction of Johne's disease risk. Subsequently, in the next phase after the 12 months, these data will be used to develop prediction models and a practical and cost-effective surveillance tool for Johne's risk assessment at the herd level.