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加强疫情防控:一个数据驱动的系统来管理呼吸道感染
Moslem Sarani1, Katayoun Jahangiri2, Manoochehr Karami3
1Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
BMC infectious diseases
|February 3, 2025
概括
这项研究开发了一个数据驱动的早期预警系统 (EWS),使用微软Power BI来增强对呼吸道感染 (RIs) 的疫情准备. 该系统整合了各种数据,以改善疫情检测和公共卫生决策.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 流行病学 流行病学
- 卫生系统管理管理卫生系统管理
背景情况:
- 有效的流行病准备对于减轻病毒性呼吸道感染的影响至关重要.
- 开发了一个数据驱动的早期预警系统 (EWS),以加强疫情的检测和应对.
- 使用了微软Power BI的数据集成和可视化功能.
研究的目的:
- 设计和开发一个呼吸道感染 (RIs) 管理仪表板.
- 整合各种数据源进行全面分析.
- 改善早期疫情检测和流行病管理.
主要方法:
- 使用了三个阶段的方法:文献评论/专家访谈,Power BI仪表板开发和可用性测试.
- 从不同来源集成到关系数据库模式中的数据.
- 与卫生专业人员进行可用性测试,以改进可视化和过.
主要成果:
- 仪表板可视化流行病学趋势,干预结果和资源利用情况.
- 关键数据包括个人 (年龄,症状,接种疫苗) 和人口水平 (感染率,覆盖率) 的指标.
- 功能包括识别高风险个体,跟踪感染动态和优化资源配置.
结论:
- 原型EWS为公共卫生应用提供了一个可扩展的框架,特别是在RIs.
- 它为决策者提供了早期检测和管理的关键流行病学指标.
- 需要进一步的现实世界评估来确认其对公共卫生结果和危机缓解的影响.
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