NordForsk Digitalisation of the Public Sector: Digitalisation of livestock data to improve veterinary public health

NordForsk 公共部门数字化：牲畜数据数字化以改善兽医公共卫生

基本信息

批准号：
ES/V00963X/1
负责人：
Jessica Anne Enright
金额：
$ 41.5万
依托单位：
University of Glasgow
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FV00963X%2F1
关键词：
NordForsk Digitalisation Public Sector livestock

项目摘要

Successful management of livestock disease ensures a consistent supply of safe food for everyone in society. The use of data by industry, public services, and even the public at large is a key part of this veterinary public health mission. However, managing this data comes with many challenges: how should data collection be standardised, and who should have access to different aspects of this data? What risks are farmers exposed to by making their data publically available? What data and processes need to be maintained to be able to effectively control shared threats to our supply of safe food within our increasingly international society?The DigiVet project will study how livestock data is currently used across the partner nations, and how technology, training, and regulatory frameworks might provide societal benefit by improving the public-interest uses of these data. Our study includes workshops with stakeholders to map existing practices, and document the gaps, roadblocks, and opportunities for improvement. Three case studies will cover foodborne disease, antimicrobial usage, and contagious diseases of livestock. Foodborne illnesses such as Salmonella are a serious public health issue, antimicrobial usage in livestock may be contributing to the developing antimicrobial resistance problem in human pathogens, and exotic and highly contagious livestock diseases such as African swine fever have the potential to devastate our national agricultural sectors, each of which has wide-reaching implications for society as a whole. Meeting each of these challenges requires different approaches, but each are united by their dependence on similar sources of data to be able for the authorities to continually monitor the threat and act when needed. For each of these applications, we will test the models and statistical data analytics that are used in one partner nation across the other geographic settings, investigating what approaches will work under what circumstances, and what would need to change to facilitate more effective use of the data. We will also investigate the risks associated with missing, sparse, or coarsely aggregated data, and evaluate the potential societal benefits of making better quality data more widely available.

成功管理牲畜疾病可确保为社会中的每个人提供一致的安全食物。行业，公共服务甚至整个公众对数据的使用是这项兽医公共卫生任务的关键部分。但是，管理此数据面临许多挑战：如何标准化数据收集，以及谁应该访问此数据的不同方面？通过公开提供数据，农民面临哪些风险？需要保持哪些数据和流程能够有效控制我们日益国际社会中安全食品的共同威胁？Digivet项目将研究当前如何在整个合作伙伴国家使用牲畜数据，以及技术，培训和监管框架如何通过改善这些数据的公共利益来提供社会利益。我们的研究包括与利益相关者绘制现有实践的研讨会，并记录差距，障碍和改进机会。三个案例研究将涵盖食源性疾病，抗菌素使用和牲畜传染性疾病。食源性疾病（例如沙门氏菌）是一个严重的公共卫生问题，牲畜中的抗菌剂使用可能会导致人类病原体中正在发展的抗菌素抗性问题，异国情调和高度感染的牲畜疾病，例如非洲猪等，例如非洲的牲畜疾病，有可能破坏我们的民族农业部门，每一个社会都有社会的社会，这是众多社会的范围。应对这些挑战中的每一个都需要不同的方法，但是每个挑战都取决于它们对类似数据来源的依赖，以便当局能够在需要时不断监视威胁并采取行动。对于这些应用程序中的每一个，我们将测试一个模型和统计数据分析，这些模型和统计数据分析在一个合作伙伴国家中使用了其他地理环境，研究哪种方法在什么情况下会起作用，以及需要更改以促进更有效地使用数据的方法。我们还将调查与缺失，稀疏或汇总数据相关的风险，并评估使更好的质量数据更广泛可用的潜在社会利益。