Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Boston, MA 02114, USA.
Department of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Road, London SE1 7EH, UK.
Science. 2020 Jun 19;368(6497):1362-1367. doi: 10.1126/science.abc0473. Epub 2020 May 5.
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.
由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的 2019 年冠状病毒病(COVID-19)疫情迅速蔓延,给解决这一全球卫生危机的大规模人口数据的有力收集带来了挑战。我们成立了冠状病毒大流行流行病学(COPE)联盟,将大数据研究和流行病学方面的专家联合起来,开发了 COVID 症状研究,即之前的 COVID 症状追踪器,移动应用程序。该应用程序提供有关风险因素、预测症状、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 日已有超过 280 万用户。我们的倡议为重新利用现有的方法提供了一个概念验证,以便能够快速进行可扩展的流行病学数据收集和分析,这对于应对这一公共卫生挑战的基于数据的应对措施至关重要。