Literature DB >> 33709945

A Self-Assessment Web-Based App to Assess Trends of the COVID-19 Pandemic in France: Observational Study.

Fabrice Denis1, Arnaud Fontanet2, Yann-Mael Le Douarin3, Florian Le Goff4, Stephan Jeanneau5, François-Xavier Lescure6.   

Abstract

BACKGROUND: We developed a self-assessment and participatory web-based triage app to assess the trends of the COVID-19 pandemic in France in March 2020.
OBJECTIVE: We compared daily large-scale RT-PCR test results to monitor recent reports of anosmia through a web-based app to assess the dynamics of emergency department visits, hospitalizations, and intensive care unit (ICU) admissions among individuals with COVID-19 in France.
METHODS: Between March 21 and November 18, 2020, users of the maladiecoronavirus.fr self-triage app were asked questions about COVID-19 symptoms. Data on daily hospitalizations, large-scale positive results on RT-PCR tests, emergency department visits, and ICU admission of individuals with COVID-19 were compared to data on daily reports of anosmia on the app.
RESULTS: As of November 18, 2020, recent anosmia was reported 575,214 times from among approximately 13,000,000 responses. Daily anosmia reports during peak engagement with the app on September 16, 2020, were spatially correlated with the peak in daily COVID-19-related hospitalizations in November 2020 (Spearman rank correlation coefficient [ρ]=0.77; P<.001). This peak in daily anosmia reports was observed primarily among young adults (age range 18-40 years), being observed 49 days before the peak of hospitalizations that corresponded to the first wave of infections among the young population, followed by a peak in hospitalizations among older individuals (aged ≥50 years) in November 2020. The reduction in the daily reports of anosmia associated with the peaks in the number of cases preceded the reduction in daily hospitalizations by 10 and 9 days during the first and the second waves of infection, respectively, although the reduction in the positivity rates on RT-PCR tests preceded the reduction in daily hospitalizations by only 2 days during the second wave of infections.
CONCLUSIONS: Data on daily reports of anosmia collected through a nationwide, web-based self-assessment app can be a relevant tool to anticipate surges in outbreaks, hospitalizations, and ICU admission during the COVID-19 pandemic. TRIAL REGISTRATION: ClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171. ©Fabrice Denis, Arnaud Fontanet, Yann-Mael Le Douarin, Florian Le Goff, Stephan Jeanneau, François-Xavier Lescure. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.03.2021.

Entities:  

Keywords:  COVID-19; France; app; big data; diagnosis; diagnostic test; digital health; mobile phone; observational; participatory app; self-assessment; surveillance; trend; web-based app

Mesh:

Year:  2021        PMID: 33709945      PMCID: PMC7958347          DOI: 10.2196/26182

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  11 in total

1.  Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment.

Authors:  Ethan Basch; Allison M Deal; Amylou C Dueck; Howard I Scher; Mark G Kris; Clifford Hudis; Deborah Schrag
Journal:  JAMA       Date:  2017-07-11       Impact factor: 56.272

2.  Patient-Reported Outcomes - Harnessing Patients' Voices to Improve Clinical Care.

Authors:  Ethan Basch
Journal:  N Engl J Med       Date:  2017-01-12       Impact factor: 91.245

3.  Rethinking Covid-19 Test Sensitivity - A Strategy for Containment.

Authors:  Michael J Mina; Roy Parker; Daniel B Larremore
Journal:  N Engl J Med       Date:  2020-09-30       Impact factor: 91.245

4.  Alterations in Smell or Taste in Mildly Symptomatic Outpatients With SARS-CoV-2 Infection.

Authors:  Giacomo Spinato; Cristoforo Fabbris; Jerry Polesel; Diego Cazzador; Daniele Borsetto; Claire Hopkins; Paolo Boscolo-Rizzo
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

5.  COVIDApp as an Innovative Strategy for the Management and Follow-Up of COVID-19 Cases in Long-Term Care Facilities in Catalonia: Implementation Study.

Authors:  Patricia Echeverría; Miquel Angel Mas Bergas; Eugenia Negredo; Jordi Puig; Mar Isnard; Mireia Massot; Cristina Vedia; Ricardo Peiró; Yolanda Ordorica; Sara Pablo; María Ulldemolins; Mercé Iruela; Dolors Balart; José María Ruiz; Jordi Herms; Bonaventura Clotet Sala
Journal:  JMIR Public Health Surveill       Date:  2020-07-17

6.  Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application.

Authors:  Fabrice Denis; Simon Galmiche; Aurélien Dinh; Arnaud Fontanet; Arnaud Scherpereel; Francois Benezit; François-Xavier Lescure
Journal:  J Med Internet Res       Date:  2020-06-11       Impact factor: 5.428

7.  Real-time tracking of self-reported symptoms to predict potential COVID-19.

Authors:  Cristina Menni; Ana M Valdes; Claire J Steves; Tim D Spector; Maxim B Freidin; Carole H Sudre; Long H Nguyen; David A Drew; Sajaysurya Ganesh; Thomas Varsavsky; M Jorge Cardoso; Julia S El-Sayed Moustafa; Alessia Visconti; Pirro Hysi; Ruth C E Bowyer; Massimo Mangino; Mario Falchi; Jonathan Wolf; Sebastien Ourselin; Andrew T Chan
Journal:  Nat Med       Date:  2020-05-11       Impact factor: 53.440

8.  App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data.

Authors:  Norbert Südkamp; Martin Hinterseer; Martin Zens; Arne Brammertz; Juliane Herpich
Journal:  J Med Internet Res       Date:  2020-09-09       Impact factor: 5.428

9.  Implementation of a Self-Triage Web Application for Suspected COVID-19 and Its Impact on Emergency Call Centers: Observational Study.

Authors:  Simon Galmiche; Eve Rahbe; Arnaud Fontanet; Aurélien Dinh; François Bénézit; François-Xavier Lescure; Fabrice Denis
Journal:  J Med Internet Res       Date:  2020-11-23       Impact factor: 5.428

10.  Associations of Medications With Lower Odds of Typical COVID-19 Symptoms: Cross-Sectional Symptom Surveillance Study.

Authors:  Dietmar Urbach; Friedemann Awiszus; Sven Leiß; Tamsin Venton; Alexander Vincent De Specht; Christian Apfelbacher
Journal:  JMIR Public Health Surveill       Date:  2020-12-14
View more
  4 in total

1.  Early Detection of Neurodevelopmental Disorders of Toddlers and Postnatal Depression by Mobile Health App: Observational Cross-sectional Study.

Authors:  Fabrice Denis; Laura Maurier; Kevin Carillo; Roxana Ologeanu-Taddei; Anne-Lise Septans; Agnes Gepner; Florian Le Goff; Madhu Desbois; Baptiste Demurger; Denise Silber; Jean-David Zeitoun; Guedalia Peretz Assuied; Olivier Bonnot
Journal:  JMIR Mhealth Uhealth       Date:  2022-05-16       Impact factor: 4.947

Review 2.  Autonomic dysfunction in SARS-COV-2 infection acute and long-term implications COVID-19 editor's page series.

Authors:  Richard C Becker
Journal:  J Thromb Thrombolysis       Date:  2021-08-17       Impact factor: 2.300

3.  Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis.

Authors:  Ming Huang; Aditya Khurana; George Mastorakos; Andrew Wen; Huan He; Liwei Wang; Sijia Liu; Yanshan Wang; Nansu Zong; Julie Prigge; Brian Costello; Nilay Shah; Henry Ting; Jungwei Fan; Christi Patten; Hongfang Liu
Journal:  JMIR Hum Factors       Date:  2022-05-05

4.  The Use of a Self-triage Tool to Predict COVID-19 Cases and Hospitalizations in the State of Georgia.

Authors:  Yi-Ting Hana Lee; Mengyu Di; Justin D Schrager; Zack Buckareff; Rachel E Patzer; Anna Q Yaffee
Journal:  West J Emerg Med       Date:  2022-06-29
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.