快速可扩展和低成本的公共卫生监测报告系统用于COVID-19
Vivek Jason Jayaraj1, Chiu-Wan Ng2, Victor Chee-Wai Hoe2
1Sector for Biostatistics & Data Repository, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
BMJ health & care informatics
|January 18, 2024
概括
一个新的低成本,开源系统增强了疾病控制的流行病学智能,特别是在COVID-19大流行期间. 这种可适应的工具支持卫生当局有效追踪疾病负担,即使在资源有限的环境中也是如此.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 数据驱动的创新对于有效的疾病控制至关重要.
- 随着COVID-19的爆发,人们越来越需要强大的流行病情报系统.
- 现有的系统可能缺乏可扩展性,可重复性或动态报告能力.
研究的目的:
- 开发一种低成本的,开源的流行病情报系统.
- 在系统设计中优先考虑可扩展性,可重复性和动态报告.
- 为应对COVID-19等危机提供一种强大的疾病监测工具.
主要方法:
- 实施了五层的工作流,包括数据采集,处理,数据库,共享,版本控制,可视化和监控.
- 最初的COVID-19数据来源于新闻稿,过渡到官方数据流.
- 该系统使用开源托管部署.
主要成果:
- 关键的COVID-19指标得到了有效的表格化和可视化.
- 该系统在处理大量数据时表现出高性能.
- 92.5%的用户转化率表明了该系统的价值和适应性.
结论:
- 开发的系统为追踪疾病负担提供了一个具有成本效益和可扩展的解决方案.
- 它特别有利于卫生专家和低资源环境中的当局.
- 这些创新对于管理健康危机至关重要,可以适应各种健康场景.
相关概念视频
01:26Principles of Disease Surveillance
97
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
97
01:18Steps in Outbreak Investigation
131
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
131