在埃塞俄比亚亚的斯亚贝巴发现COVID-19早期病例的移动健康支持的活跃综合征监测:比较研究
Haileleul Bisrat1, Tsegahun Manyazewal1, Abebaw Fekadu1
1Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Abeba, Ethiopia.
Interactive journal of medical research
|August 9, 2023
概括
移动健康 (mHealth) 综合征监测提供了一种具有成本效益的方法,可以在缺乏资源的环境中早期检测COVID-19. 这种方法显示出与实验室测试的合理一致性,有助于在服务不足的人群中及时诊断和管理.
科学领域:
- 数字健康数字健康
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 低收入国家对实验室服务的获取有限,阻碍了对COVID-19等关键疾病的早期诊断.
- 移动健康 (mHealth) 支持的综合征监测可以促进实时健康状况评估,以成本有效,早期识别疾病.
研究的目的:
- 评估mHealth支持的活性综合征监测对埃塞俄比亚亚的斯亚贝巴早期COVID-19病例检测的实用性.
主要方法:
- 一个比较的横截面研究涉及随机选择的成年人通过手机联系.
- 参与者接受了电话采访,以评估COVID-19综合征,并根据国家指导方针进行症状评分.
- 使用科恩·卡帕和ROC曲线分析了mHealth评估和基于设施的诊断测试之间的一致性.
主要成果:
- 采访了2741名成年人;1371人报告了COVID-19症状并接受了测试.
- 综合征评估模型实现了46%的灵敏度和98%的特异性.
- 在mHealth综合征评估和实验室确认的COVID-19结果之间观察到中等一致性 (κ=0.54).
结论:
- 通过mHealth支持的综合征评估表明与实验室确认的COVID-19结果有合理的一致 (89%).
- 这种移动健康方法为偏远地区的COVID-19早期检测提供了潜在的替代方案,促进了成本有效的自我护理和疾病管理.
- 研究结果支持将数字健康纳入新兴传染病监测系统.
相关概念视频
01:26Principles of Disease Surveillance
124
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...
124
01:18Steps in Outbreak Investigation
152
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:
152