Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application
BackgroundWe developed a self-assessment and participatory surveillance web application for coronavirus disease (COVID-19), which was launched in France in March 2020. ObjectiveOur objective was to determine if self-reported symptoms could help monitor the dynamic...
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doaj-b05fdd48ce48478aa489153402d5651f2021-04-02T18:40:50ZengJMIR PublicationsJournal of Medical Internet Research1438-88712020-06-01226e1985510.2196/19855Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web ApplicationDenis, FabriceGalmiche, SimonDinh, AurélienFontanet, ArnaudScherpereel, ArnaudBenezit, FrancoisLescure, François-Xavier BackgroundWe developed a self-assessment and participatory surveillance web application for coronavirus disease (COVID-19), which was launched in France in March 2020. ObjectiveOur objective was to determine if self-reported symptoms could help monitor the dynamics of the COVID-19 outbreak in France. MethodsUsers were asked questions about underlying conditions, sociodemographic status, zip code, and COVID-19 symptoms. Depending on the symptoms reported and the presence of coexisting disorders, users were told to either stay at home, contact a general practitioner (GP), or call an emergency phone number. Data regarding COVID-19–related hospitalizations were retrieved from the Ministry of Health. ResultsAs of March 29, 2020, the application was opened 4,126,789 times; 3,799,535 electronic questionnaires were filled out; and 2,477,174 users had at least one symptom. In total, 34.8% (n=1,322,361) reported no symptoms. The remaining users were directed to self-monitoring (n=858,878, 22.6%), GP visit or teleconsultation (n=1,033,922, 27.2%), or an emergency phone call (n=584,374, 15.4%). Emergency warning signs were reported by 39.1% of participants with anosmia, a loss of the sense of smell (n=127,586) versus 22.7% of participants without anosmia (n=1,597,289). Anosmia and fever and/or cough were correlated with hospitalizations for COVID-19 (Spearman correlation coefficients=0.87 and 0.82, respectively; P<.001 for both). ConclusionsThis study suggests that anosmia may be strongly associated with COVID-19 and its severity. Despite a lack of medical assessment and virological confirmation, self-checking application data could be a relevant tool to monitor outbreak trends. Trial RegistrationClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171http://www.jmir.org/2020/6/e19855/ |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Denis, Fabrice Galmiche, Simon Dinh, Aurélien Fontanet, Arnaud Scherpereel, Arnaud Benezit, Francois Lescure, François-Xavier |
spellingShingle |
Denis, Fabrice Galmiche, Simon Dinh, Aurélien Fontanet, Arnaud Scherpereel, Arnaud Benezit, Francois Lescure, François-Xavier Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application Journal of Medical Internet Research |
author_facet |
Denis, Fabrice Galmiche, Simon Dinh, Aurélien Fontanet, Arnaud Scherpereel, Arnaud Benezit, Francois Lescure, François-Xavier |
author_sort |
Denis, Fabrice |
title |
Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application |
title_short |
Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application |
title_full |
Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application |
title_fullStr |
Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application |
title_full_unstemmed |
Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application |
title_sort |
epidemiological observations on the association between anosmia and covid-19 infection: analysis of data from a self-assessment web application |
publisher |
JMIR Publications |
series |
Journal of Medical Internet Research |
issn |
1438-8871 |
publishDate |
2020-06-01 |
description |
BackgroundWe developed a self-assessment and participatory surveillance web application for coronavirus disease (COVID-19), which was launched in France in March 2020.
ObjectiveOur objective was to determine if self-reported symptoms could help monitor the dynamics of the COVID-19 outbreak in France.
MethodsUsers were asked questions about underlying conditions, sociodemographic status, zip code, and COVID-19 symptoms. Depending on the symptoms reported and the presence of coexisting disorders, users were told to either stay at home, contact a general practitioner (GP), or call an emergency phone number. Data regarding COVID-19–related hospitalizations were retrieved from the Ministry of Health.
ResultsAs of March 29, 2020, the application was opened 4,126,789 times; 3,799,535 electronic questionnaires were filled out; and 2,477,174 users had at least one symptom. In total, 34.8% (n=1,322,361) reported no symptoms. The remaining users were directed to self-monitoring (n=858,878, 22.6%), GP visit or teleconsultation (n=1,033,922, 27.2%), or an emergency phone call (n=584,374, 15.4%). Emergency warning signs were reported by 39.1% of participants with anosmia, a loss of the sense of smell (n=127,586) versus 22.7% of participants without anosmia (n=1,597,289). Anosmia and fever and/or cough were correlated with hospitalizations for COVID-19 (Spearman correlation coefficients=0.87 and 0.82, respectively; P<.001 for both).
ConclusionsThis study suggests that anosmia may be strongly associated with COVID-19 and its severity. Despite a lack of medical assessment and virological confirmation, self-checking application data could be a relevant tool to monitor outbreak trends.
Trial RegistrationClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171 |
url |
http://www.jmir.org/2020/6/e19855/ |
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