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10.1038/s41591-020-0916-2 http://scihub22266oqcxt.onion/10.1038/s41591-020-0916-2 32393804!7751267!32393804     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Med 2020 ; 26 (7): 1037-1040 Nephropedia Template TP {{tp|p=32393804|t=2020. Real-time tracking of self-reported symptoms to predict potential COVID-19 |pdf=|usr=}}{{32393804}} gab.com Text Real-time tracking of self-reported symptoms to predict potential COVID-19 JO: Nat Med http://www.kidney.de/pget.php?&tw=1&pmid=32393804 #FOAvip 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. Twit Text FOAVip Real-time tracking of self-reported symptoms to predict potential COVID-19 ????Nat Med http://www.kidney.de/pget.php?&tw=1&pmid=32393804 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32393804 #FOAvip English Wikipedia <ref>{{Cite pmid|32393804}}</ref> Real-time tracking of self-reported symptoms to predict potential COVID-19 #MMPMID32393804 Menni C; Valdes AM; Freidin MB; Sudre CH; Nguyen LH; Drew DA; Ganesh S; Varsavsky T; Cardoso MJ; El-Sayed Moustafa JS; Visconti A; Hysi P; Bowyer RCE; Mangino M; Falchi M; Wolf J; Ourselin S; Chan AT; Steves CJ; Spector TD Nat Med 2020[Jul]; 26 (7): 1037-1040 PMID32393804show ga 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. |*Mobile Applications/standards[MESH] |*Prodromal Symptoms[MESH] |*Self Report[MESH] |*Smartphone[MESH] |Adult[MESH] |Aged[MESH] |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |Computer Systems[MESH] |Coronavirus Infections/*diagnosis/epidemiology/pathology[MESH] |Cough/diagnosis/epidemiology[MESH] |Disease Notification/*methods/standards[MESH] |Dyspnea/diagnosis/epidemiology[MESH] |Fatigue/diagnosis/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Models, Biological[MESH] |Olfaction Disorders/diagnosis/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/epidemiology/pathology[MESH] |Prognosis[MESH] |SARS-CoV-2[MESH] |Severity of Illness Index[MESH] |Taste Disorders/diagnosis/epidemiology[MESH] |United Kingdom/epidemiology[MESH]Real-time tracking of self-reported symptoms to predict potential COVI(epmc).pdf DeepDyve Pubget Overpricing