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基于事件的增强监控:在2022年卡塔尔FIFA世界杯期间,从开放源 (EIOS) 获得的流行病情报
Mohamed Sallam1, Raihana Jabbar1, Lylu K Mahadoon1
1Health Protection and Communicable Disease Control, Ministry of Public Health, P.O Box: 42, Al Khaleej Street, Al Rumaila, Doha, Qatar.
Journal of infection and public health
|August 14, 2024
概括
开源流行病情报 (EIOS) 系统在2022年卡塔尔FIFA世界杯期间有效检测到公共卫生威胁,证明了其在对大规模集会的早期预警中的价值.
科学领域:
- 公共卫生监督 公共卫生监督
- 流行病学 流行病学
- 信息科学 信息科学 信息科学
背景情况:
- 大规模聚会对公共健康构成重大风险,需要强有力的监控系统.
- 国际足联世界杯卡塔尔2022 (FWC22) 促使卡塔尔实施了来自开源的流行病情报 (EIOS).
- 集成EIOS是为了加强FWC22的现有监视.
研究的目的:
- 估计EIOS检测公共卫生信号的经验概率.
- 确定影响大众聚会期间检测中等至高风险信号的因素.
- 在大规模事件背景下评估EIOS的实用性.
主要方法:
- 一项使用EIOS仪表板数据进行的横截面描述性研究 (11月8日至2022年12月25日).
- 开发和应用选标准和信号评估的评分方案.
- 统计分析包括千二测试和多变量逻辑回归来评估信号特征和预测因素.
主要成果:
- EIOS捕获了相关的公共卫生信号,经验概率为0.85% (95% CI [0.82%-0.88%]),其中三个信号需要国家响应.
- 危险类别显示了与信号区域 (p < .001) 和在比赛日 (p < .05) 中检测的显著关联.
- 开发的分拣标准显示了低风险和中等高风险信号之间的可接受歧视 (AUC=0.79).
结论:
- 来自开放源代码的流行病情报 (EIOS) 在早期检测公共卫生威胁方面被证明是有效的.
- 系统识别风险水平的能力对于及时干预非常有价值.
- 在重大事件期间,EIOS是加强监视的关键工具.
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