来自全球人类,动物和环境健康的参与式监测系统的数据参数:描述性分析
Carrie McNeil1, Nomita Divi1, Charles Thomas Bargeron Iv2
1Ending Pandemics, San Francisco, CA, United States.
JMIR public health and surveillance
|March 26, 2025
概括
参与式监测系统越来越多地采用"一个健康"的方法,收集有关动物,环境和人类健康的各种数据. 这本汇编突出了数据收集的差异,强调需要标准化以改善疫情的检测和应对.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 兽医医学 兽医医学 兽医医学
- 环境科学 环境科学
背景情况:
- 新兴的病原体和动物传染病需要强大的健康监测,以便早期发现疫情.
- 参与式监测使社区能够收集有关动物,人类和环境健康的关键数据.
- 技术进步正在扩大这些监控系统的功能和范围.
研究的目的:
- 到2023年,从积极参与式监测系统中开发一个全面的"One Health"数据参数汇编.
- 确定全球收集的特定的人类,动物和环境健康参数及其方法.
- 为当前的数据收集实践提供参考,并为未来的系统开发和数据标准化提供信息.
主要方法:
- 38个积极的参与式监测系统 (63%的响应率) 通过"一个健康参与式监测系统地图"被确定.
- 系统通过电子邮件提供了收集的参数,方法和具体考虑的数据.
- 数据被编译成一个可搜索的电子表格汇编,由专家咨询小组审查.
主要成果:
- 该汇编包括来自非洲,亚洲,欧洲,澳大利亚和美洲的38个系统的参数.
- 29%的系统收集跨多个部门的数据,45%的系统仅专注于人类健康.
- 对于人口统计和临床症状等常见参数的数据收集技术存在显著差异.
结论:
- 参与式监测系统正在有效地整合一个健康的方法来识别共同的健康威胁.
- 数据收集方法的变化强调了需要改善系统互操作性和数据标准,以便及时应对疫情爆发.
- 收集的参数为开发和扩展多部门监控系统提供了宝贵的资源.
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