全球动物疾病负担计划的信息技术进展向"一健康"的数据迈进
概括
全球动物疾病负担 (GBADs) 计划通过可访问的数据增强了动物健康决策. GBADs利用信息学来整合多种数据源,以改进畜牧疾病负担计算和"一个健康"倡议.
科学领域:
- 兽医流行病学 兽医流行病学
- 数据科学数据科学数据科学
- 全球健康 全球健康
背景情况:
- 政策制定者需要对动物健康和福利干预措施提供强有力的证据.
- 诸如抗微生物耐药性和气候变化等全球性挑战需要综合的"一健康"方法.
- 现有的数据系统往往在可访问性和互操作性方面存在挑战.
研究的目的:
- 建立一个透明的数据驱动的证据系统来评估动物健康干预措施.
- 开发用于计算畜牧疾病负担的方法,并支持"一个健康"研究.
- 改善全球动物健康倡议的数据可访问性和互操作性.
主要方法:
- 从国际组织收集和协调开放数据.
- 开发本体学和图形数据库来弥合数据孤岛.
- 为数据传播创建仪表板,数据故事和数据治理手册.
- 实现一个应用程序编程接口 (API) 来访问数据.
主要成果:
- 在数据可访问性,协调性和牲畜数量的准确性方面发现了挑战.
- 开发了用于数据分析,可视化和共享的信息学流程.
- 建立了共享数据质量评估机制,以建立信任.
- 通过API提供GBAD数据,支持畜牧业和One Health问题.
结论:
- GBADs 计划为制定动物健康和福利政策的决策提供了必不可少的数据.
- 完善的数据基础设施对于解决复杂的"健康"问题至关重要.
- GBAD的数据有助于实现多个联合国可持续发展目标.
关键词:
仪表板 仪表板 仪表板数据访问 访问数据数据质量数据质量数据质量数据战略 数据战略数据可视化数据可视化全球动物疾病负担互操作性 互操作性 互操作性畜牧业 畜牧业 畜牧业 畜牧业一个健康数据健康数据更多相关视频
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