PANDEM-Source,一个用于收集或生成流行病管理监测指标的工具:使用COVID-19数据的用例
Francisco Orchard1, Charline Clain1, William Madie1
1Epiconcept, Paris, France.
Frontiers in public health
|April 4, 2024
概括
PANDEM-Source (PS) 是一个开源工具,从各种来源收集和标准化公共卫生数据,以加强传染病监测和流行病准备. 它支持传统和非传统来源的数据,并为训练模拟生成合成数据.
科学领域:
- 公共卫生 公共卫生
- 传染病监测 传染病监测 传染病
- 医疗信息学 医疗信息学
背景情况:
- 随着COVID-19的爆发,人们越来越需要强大的传染病监测系统.
- 现有的数据源往往是异质的和分散的,使综合分析变得复杂.
- 需要适应性的工具来支持流行病的准备和应对.
研究的目的:
- 描述PANDEM-Source (PS) 的特性和设计,这是一个用于收集和整合公共卫生数据的工具.
- 通过数据整合和分析,支持传染病监测和流行病管理.
- 通过为培训目的提供数据,促进疫情准备.
主要方法:
- PANDEM-Source (PS) 是通过与欧盟流行病管理人员的需求收集过程开发的.
- 它整合了来自开放,受限制和用户上传的异质来源的数据.
- 该工具支持传统 (机构报告) 和非传统 (社交媒体,参与) 数据来源.
主要成果:
- 公共卫生系统经常监测,收集和标准化来自各种公共卫生来源的数据.
- 它支持与卫生资源和流行病学数据相关的指标.
- PS可以生成合成数据用于训练和模拟流行病情景.
结论:
- PANDEM-Source (PS) 是一个灵活的,开源的工具,对流行病管理和准备有价值.
- 它对各种数据源和可定制指标的适应性使其适合未来的威胁.
- 该工具加强了监测潜在威胁的能力,并培训人员应对流行病.
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