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| DOI | 10.1126/science.abc0473 |
| Rapid implementation of mobile technology for real-time epidemiology of COVID-19 | |
| Drew D.A.; Nguyen L.H.; Steves C.J.; Menni C.; Freydin M.; Varsavsky T.; Sudre C.H.; Jorge Cardoso M.; Ourselin S.; Wolf J.; Spector T.D.; Chan A.T.; COPE Consortium | |
| 发表日期 | 2020 |
| ISSN | 0036-8075 |
| 起始页码 | 1362 |
| 结束页码 | 1367 |
| 卷号 | 368期号:6497 |
| 英文摘要 | 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. © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works |
| 关键词 | data assimilationepidemiologypublic healthreal timerisk factorsevere acute respiratory syndromeviral diseaseUnited KingdomUnited StatesCoronavirusSARS coronavirusBetacoronavirusCoronavirus infectiondevicesglobal healthhumaninformation processinginternational cooperationmobile applicationpandemicprocedurestheoretical modelUnited KingdomUnited Statesvirus pneumoniaBetacoronavirusBig DataCoronavirus InfectionsData CollectionGlobal HealthHumansInternational CooperationMobile ApplicationsModels, TheoreticalPandemicsPneumonia, ViralUnited KingdomUnited States |
| 语种 | 英语 |
| 来源机构 | Science |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/133421 |
| 推荐引用方式 GB/T 7714 | Drew D.A.,Nguyen L.H.,Steves C.J.,et al. Rapid implementation of mobile technology for real-time epidemiology of COVID-19[J]. Science,2020,368(6497). |
| APA | Drew D.A..,Nguyen L.H..,Steves C.J..,Menni C..,Freydin M..,...&COPE Consortium.(2020).Rapid implementation of mobile technology for real-time epidemiology of COVID-19.,368(6497). |
| MLA | Drew D.A.,et al."Rapid implementation of mobile technology for real-time epidemiology of COVID-19".368.6497(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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