开发一个统一的健康数据整合框架,专注于实时病原体监测和应用基因组流行病学
Hanna N Oltean1,2, Beth Lipton3, Allison Black3
1Washington State Department of Health, 1610 NE 150th St, Shoreline, WA, 98155, USA. hanna.oltean@doh.wa.gov.
One health outlook
|February 19, 2025
概括
这项研究提出了一个新的框架,以帮助One Health从业者整合人类,动物和环境健康数据,以便更好地监测疾病. 它解决了有限资源环境中的挑战,以协调数据分析和响应.
科学领域:
- 公共卫生 公共卫生
- 兽医医学 兽医医学 兽医医学
- 环境科学 环境科学
- 信息学是一种信息学.
背景情况:
- 一个健康的方法认识到人类,动物和生态系统健康的相互依赖.
- 有效的疾病监测需要跨部门的综合数据,包括人类,动物和环境健康,以及病原体基因组学.
- 与单个部门数据互操作性相比,协调和整合跨健康部门的数据带来了独特的挑战.
研究的目的:
- 为当地One Health从业者开发一个实用的框架,以促进数据集成.
- 为了解决成功的跨部门数据协调和整合倡议的稀缺性.
- 支持数据集成在One Health事件的响应层面的操作化.
主要方法:
- 进行了科学和灰色文献的系统审查.
- 与17名One Health和信息学专家进行的半结构面试为框架开发提供了信息.
- 确定并概述了整合基因组数据的方法.
主要成果:
- 一个健康数据集成的新框架被开发出来,结合了来自57个记录和13个现有框架的发现.
- 专家反被整合到新的框架中.
- 确定和描述了基因组数据集成的两个场景.
结论:
- 一个健康和信息化的现有框架需要适应实时疾病监测的整合.
- 开发的框架解决了资源有限的环境中的挑战,重点是系统开发,生产和联合分析.
- 关键的区分因素包括复杂的合作伙伴参与,共同开发,数据治理和跨部门分析,以实现成功的One Health监测和响应.
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