全球南方和北方的利益相关者目前和潜在使用动物疾病数据
Delia Grace1, Kebede Amenu2, Chris J Daborn3
1Natural Resources Institute, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK; International Livestock Research Institute, Bole, Addis Ababa, Ethiopia.
Preventive veterinary medicine
|March 28, 2024
概括
目前,动物疾病负担数据不足,导致决策不理想. 需要改进数据和决策支持工具,以更好地为政策和动物健康管理的资源分配提供信息.
科学领域:
- 兽医流行病学 兽医流行病学
- 动物健康经济学 动物健康经济学
- 在动物健康领域的数据科学.
背景情况:
- 全球动物疾病负担 (GBADs) 计划旨在通过各种参数量化动物疾病负担.
- 了解最终用户对动物疾病负担 (BAD) 数据的需求对于有效的数据生成和利用至关重要.
结论:
- 人们对当前的BAD信息和ADPP显著不满,阻碍了基于证据的动物健康决策.
- 改进的BAD数据,加上决策支持工具 (DST),可以增强各种利益相关者的决策.
- 建议为已识别的用户集群开发量身定制的DST,以优化使用BAD信息.
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