兽药监管中的大数据:数据景观分析以支持监管活动
Ewa Pacholewicz1, Eduardo de Freitas Costa1, Mariana Avelino de Souza Santos1
1Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands.
The Veterinary record
|October 10, 2025
概括
为分析欧洲动物健康数据来源制定了一项新的协议. 这项研究确定了652个来源,主要来自公共部门,以支持兽医监管.
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
- 监管科学 监管科学
背景情况:
- 开发数据景观分析协议对于理解动物健康数据至关重要.
- 该议定书支持整个生命周期的兽药监管活动.
研究的目的:
- 制定和实施一项协议,用于识别和描述欧洲的动物健康数据来源.
- 支持与兽药相关的监管活动.
主要方法:
- 为数据源识别制定了标准.
- 适用于兽医领域的人类元数据标准.
- 进行了调查,文献搜索,并在欧洲各国进行了直接推广.
主要成果:
- 在欧洲确定了652个动物健康数据源.
- 主要来源于公共部门的利益相关者,包括疾病和抗菌素使用登记册.
- 发现生产动物的来源比伴侣动物更多;只有一半是直接可访问的.
结论:
- 这项研究开创了欧洲动物健康数据的景观分析方法.
- 提供了兽医数据源的初始,可扩展的清单.
- 承认其局限性,例如调查响应率低,私营部门投入有限.
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