Rapid implementation of mobile technology for real-time epidemiology of COVID-19
Rapid implementation of mobile technology for real-time epidemiology of COVID-19
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DOI：
10.1126/science.abc0473
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发表时间：
2020-06-19
期刊：
影响因子：
56.9
通讯作者：
Chan, Andrew T.
中科院分区：
文献类型：
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作者：
Drew, David A.;Nguyen, Long H.;Chan, Andrew T.
由严重急性呼吸综合征冠状病毒2号(SARS-CoV-2)引起的2019年冠状病毒病(新冠肺炎)大流行的快速增长给积极收集人口规模的数据以应对这一全球健康危机提出了挑战。我们成立了冠状病毒大流行流行病学(COPE)联盟，以联合拥有大数据研究和流行病学专业知识的科学家开发COVID症状研究，以前称为COVID症状跟踪器，移动应用程序。这款应用程序提供有关风险因素、预测性症状、临床结果和地理热点的数据，于2020年3月24日在英国和2020年3月29日在美国推出，截至2020年5月2日已获得超过280万用户。我们的倡议为重新调整现有方法的用途提供了概念证明，以实现快速可扩展的流行病学数据收集和分析，这对于以数据为导向应对这一公共卫生挑战至关重要。
The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) Consortium to unite scientists with expertise in big data research and epidemiology to develop the COVID Symptom Study, previously known as the COVID Symptom Tracker, mobile application. This application-which offers data on risk factors, predictive symptoms, clinical outcomes, and geographical hotspots-was launched in the United Kingdom on 24 March 2020 and the United States on 29 March 2020 and has garnered more than 2.8 million users as of 2 May 2020. Our initiative offers a proof of concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-driven response to this public health challenge.