This paper is in the following e-collection/theme issue:

Infoveillance and Social Listening (212) JMIR Theme Issue: COVID-19 Special Issue (2458) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Infodemiology and Infoveillance (1365) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049) Early Results from COVID-19 Studies (307)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41863, first published .
Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study

Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study

Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study

Authors of this article:

Carole Faviez1, 2 Author Orcid Image ;   Manissa Talmatkadi3 Author Orcid Image ;   Pierre Foulquié3 Author Orcid Image ;   Adel Mebarki3 Author Orcid Image ;   Stéphane Schück3 Author Orcid Image ;   Anita Burgun1, 2, 4 Author Orcid Image ;   Xiaoyi Chen1, 2, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Carole Faviez   1, 2 * , PhD ;   Manissa Talmatkadi   3 * , MSc ;   Pierre Foulquié   3 , MSc ;   Adel Mebarki   3 , MSc ;   Stéphane Schück   3 , MD ;   Anita Burgun   1, 2, 4 , MD, PhD ;   Xiaoyi Chen   1, 2, 5 , PhD

1 Centre de Recherche des Cordeliers, Université Paris Cité, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1138, Paris, France

2 Health Data- and Model- Driven Knowledge Acquisition (HeKA), Inria Paris, Paris, France

3 Kap Code, Paris, France

4 Department of Medical Informatics, Hôpital Necker-Enfant Malades, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris, France

5 Data Science Platform, Imagine Institute, Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1163, Paris, France

*these authors contributed equally

Corresponding Author:

  • Carole Faviez, PhD
  • Centre de Recherche des Cordeliers, Université Paris Cité
  • Sorbonne Université
  • Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1138
  • 24 Boulevard du Montparnasse
  • Paris, 75015
  • France
  • Phone: 33 142754200
  • Email: carole.faviez@inserm.fr