相关实验视频
Updated: Dec 22, 2025

14:56
Remote Laboratory Management: Respiratory Virus Diagnostics
Published on: April 6, 2019
33.5K
快速实施移动技术以实时发现COVID-19的流行病
David A Drew1, Long H Nguyen1, Claire J Steves2,3
1Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Boston, MA 02114, USA.
概括
通过COVID症状研究移动应用程序,迅速收集2019年新冠肺炎 (COVID-19) 风险因素和症状的人口数据. 这种方法展示了可扩展的流行病学数据收集以实现数据驱动的公共卫生响应.
科学领域:
- 流行病学
- 公共卫生
- 大数据研究
背景情况:
- 由于COVID-19大流行,需要快速大规模收集数据.
- 现有的流行病学方法在适应流行病的速度方面面临挑战.
研究的目的:
- 建立一个可扩展的系统来收集人口级别的COVID-19数据.
- 将大数据和流行病学专业知识用于移动健康应用程序.
主要方法:
- 开发并推出COVID症状研究移动应用程序.
- 在2020年5月之前利用超过280万个人的用户群.
- 收集有关风险因素,症状,临床结果和地理热点的数据.
主要成果:
- 冠状病毒流行病学 (COPE) 联盟成功部署了一个用于收集COVID-19数据的移动应用程序.
- 该申请证明了迅速收集广泛的流行病学信息的可行性.
- 收集的数据包括用户报告的症状,危险因素和健康结果.
结论:
- 这项COVID症状研究作为一种概念证明,用于快速,可扩展的数据收集.
- 这种方法对于以数据为导向的应对COVID-19等公共卫生危机至关重要.
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