Rev Sci Tech. 2023 May;42:218-229. doi: 10.20506/rst.42.3365.
The Global Burden of Animal Diseases (GBADs) programme will provide data-driven evidence that policy-makers can use to evaluate options, inform decisions, and measure the success of animal health and welfare interventions. The GBADs' Informatics team is developing a transparent process for identifying, analysing, visualising and sharing data to calculate livestock disease burdens and drive models and dashboards. These data can be combined with data on other global burdens (human health, crop loss, foodborne diseases) to provide a comprehensive range of information on One Health, required to address such issues as antimicrobial resistance and climate change. The programme began by gathering open data from international organisations (which are undergoing their own digital transformations). Efforts to achieve an accurate estimate of livestock numbers revealed problems in finding, accessing and reconciling data from different sources over time. Ontologies and graph databases are being developed to bridge data silos and improve the findability and interoperability of data. Dashboards, data stories, a documentation website and a Data Governance Handbook explain GBADs data, now available through an application programming interface. Sharing data quality assessments builds trust in such data, encouraging their application to livestock and One Health issues. Animal welfare data present a particular challenge, as much of this information is held privately and discussions continue regarding which data are the most relevant. Accurate livestock numbers are an essential input for calculating biomass, which subsequently feeds into calculations of antimicrobial use and climate change. The GBADs data are also essential to at least eight of the United Nations Sustainable Development Goals.
动物疾病全球负担（GBADs）计划将提供决策者可以用来评估方案、做出决策和衡量动物健康和福利干预措施成效的数据驱动证据。GBADs 的信息学团队正在开发一种透明的流程，用于识别、分析、可视化和共享数据，以计算牲畜疾病负担并驱动模型和仪表板。这些数据可以与其他全球负担（人类健康、作物损失、食源性疾病）的数据相结合，提供有关“同一健康”的综合信息，以解决抗生素耐药性和气候变化等问题。该计划首先从国际组织（正在进行数字化转型）收集公开数据。为了准确估计牲畜数量，人们努力发现、获取和协调不同来源的数据，这一过程中存在很多问题。正在开发本体和图形数据库来弥合数据孤岛，并提高数据的可发现性和互操作性。仪表板、数据故事、文档网站和数据治理手册解释了 GBADs 数据，现在可以通过应用程序编程接口获取这些数据。共享数据质量评估可以建立对这些数据的信任，鼓励将其应用于牲畜和“同一健康”问题。动物福利数据尤其具有挑战性，因为这些信息大多是私人持有的，关于哪些数据最相关的讨论仍在继续。准确的牲畜数量是计算生物量的必要投入，这反过来又会影响抗生素使用和气候变化的计算。GBADs 数据对于至少八个联合国可持续发展目标也是必不可少的。
