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对新兴传染病检测和管理的One Health系统进行全面审查
Aseel Basheer1,2, Matthew Tran1,2, Baseer Khan1,2
1School of Computer Science, University of Oklahoma, OK, US.
One health (Amsterdam, Netherlands)
|November 28, 2025
概括
结合人类,动物和环境数据的综合健康系统正在出现,用于疾病管理. 虽然人动物数据集成正在增加,但完全三域系统仍然有限,这为未来的研究机会提供了机会.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 流行病学 流行病学
- 数字卫生系统 数字卫生系统
背景情况:
- 传染病的检测和管理需要综合数据方法.
- 一个健康系统旨在弥合人类,动物和环境健康监测.
- 数字平台越来越多地被用于One Health应用程序.
研究的目的:
- 系统地审查"一个健康"系统的设计和实施,以检测传染病.
- 在审查的系统中识别集成模式,功能和用户交互性.
- 分析数据域的使用情况和One Health系统发展的趋势.
主要方法:
- 2015年至2024年间发表的202个健康系统的系统性文献综述.
- 系统按目的,疾病,数据类型 (人类,动物,环境) 和用户组进行分类.
- 分析系统任务,交互技术和在线可用性.
主要成果:
- 很大一部分系统使用单域数据 (人类:20%,动物:12%,环境:10%).
- 最常见的整合是人类和动物数据 (30%),其次是人类和环境 (12%).
- 完全集成的三域One Health系统是有限的,通常以评论而不是应用系统的形式出现.
结论:
- 有越来越多的趋势是整合多个数据源,特别是人类和动物健康数据.
- 完全实现的整合所有三个领域的One Health系统很少,这表明应用研究存在差距.
- 未来的研究应该专注于开发全面的,数据驱动的,三个领域的"健康"系统,以加强疾病管理.
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