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Real-time tracking of self-reported symptoms to predict potential COVID-19
| dc.creator | Menni, Cristina | |
| dc.creator | Valdes, Ana M. | |
| dc.creator | Freidin, Maxim B. | |
| dc.creator | Sudre, Carole H. | |
| dc.creator | Nguyen, Long H. | |
| dc.creator | Drew, David A. | |
| dc.creator | Ganesh, Sajaysurya | |
| dc.creator | Varsavsky, Thomas | |
| dc.creator | Cardoso, M. Jorge | |
| dc.creator | El-Sayed Moustafa, Julia S. | |
| dc.creator | Visconti, Alessia | |
| dc.creator | Hysi, Pirro | |
| dc.creator | Bowyer, Ruth C.E. | |
| dc.creator | Mangino, Massimo | |
| dc.creator | Falchi, Mario | |
| dc.creator | Wolf, Jonathan | |
| dc.creator | Ourselin, Sebastien | |
| dc.creator | Chan, Andrew T. | |
| dc.creator | Steves, Claire J. | |
| dc.creator | Spector, Tim D. | |
| dc.date.accessioned | 2020-07-17T20:00:30Z | |
| dc.date.available | 2020-07-17T20:00:30Z | |
| dc.date.created | 2020-05-11 | |
| dc.identifier.issn | 1546-170X | spa |
| dc.identifier.other | https://www.nature.com/articles/s41591-020-0916-2 | spa |
| dc.identifier.uri | http://hdl.handle.net/20.500.12010/10802 | |
| dc.format.extent | 8 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.publisher | Science Direct | eng |
| dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
| dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
| dc.subject | Síntomas autoinformados | spa |
| dc.title | Real-time tracking of self-reported symptoms to predict potential COVID-19 | spa |
| dc.type.local | Artículo | spa |
| dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
| dc.subject.lemb | COVID-19 | spa |
| dc.subject.lemb | SARS-CoV-2 | spa |
| dc.subject.lemb | Coronavirus | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.subject.keyword | Self-reported symptoms | spa |
| dc.identifier.doi | https://doi.org/10.1038/s41591-020-0916-2 | spa |
| dc.description.abstractenglish | A total of 2,618,862 participants reported their potential symptoms of COVID-19 on a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the proportion of participants who reported loss of smell and taste was higher in those with a positive test result (4,668 of 7,178 individuals; 65.03%) than in those with a negative test result (2,436 of 11,223 participants; 21.71%) (odds ratio = 6.74; 95% confidence interval = 6.31–7.21). A model combining symptoms to predict probable infection was applied to the data from all app users who reported symptoms (805,753) and predicted that 140,312 (17.42%) participants are likely to have COVID-19. | spa |
