一个开源的数字联系人追踪系统,专为运输量身定制
Adrian Muwonge1,2, Bryan A Wee1, Ibrahimm Mugerwa3
1Digital One Health Laboratory, The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Frontiers in digital health
|August 4, 2023
概括
数字联系人追踪工具THEA-GS在乌干达的传染病爆发中,比手工方法提高了90倍的速度. 用户采用需要建立信任和对其公共健康益处的认识.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数字健康数字健康
背景情况:
- 数字联系人追踪比手工方法提供了速度和自动化优势.
- 对数字工具的功能,效率和接受度的全面评估往往缺乏.
- 运输业是传染病传播的高风险群体.
研究的目的:
- 评估THEA-GS的功能,这是一个开源的数字联系人追踪工具.
- 提供有关在低收入和中等收入国家背景下实施和采用THEA-GS的见解.
- 与手动方法相比,评估数字联系人追踪的速度和效率.
主要方法:
- THEA-GS使用智能手机应用程序进行位置跟踪和服务器程序进行数据分析.
- 该工具分析了GPS数据,停车时间和社区协会,以确定传输热点.
- 与国家基础设施的整合允许对诊断结果和联系结构进行比较.
主要成果:
- THEA-GS显著提高了速度,比手动接触追踪 (MCT) 快大约90倍.
- 病例和接触者的平均通知时间分别减少到约70分钟和80分钟.
- 采用的挑战主要与用户对该工具的目的和公共卫生益处的认识有关.
结论:
- 在管理传染病爆发时,THEA-GS显示了基于位置的数字联系人跟踪的强大功能.
- 社会接受和采用非常依赖于建立用户信任和明确沟通好处.
- 需要进一步评估实用性,接受性和准确性,但初步结果对运输司机等高风险群体来说是有希望的.
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