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Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study.
Faviez, Carole; Talmatkadi, Manissa; Foulquié, Pierre; Mebarki, Adel; Schück, Stéphane; Burgun, Anita; Chen, Xiaoyi.
Affiliation
  • Faviez C; 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.
  • Talmatkadi M; Health Data- and Model- Driven Knowledge Acquisition (HeKA), Inria Paris, Paris, France.
  • Foulquié P; Kap Code, Paris, France.
  • Mebarki A; Kap Code, Paris, France.
  • Schück S; Kap Code, Paris, France.
  • Burgun A; Kap Code, Paris, France.
  • Chen X; 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.
JMIR Infodemiology ; 3: e41863, 2023 09 25.
Article in En | MEDLINE | ID: mdl-37643302
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Full text: 1 Database: MEDLINE Main subject: Ageusia / Social Media / COVID-19 Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: JMIR Infodemiology Year: 2023 Type: Article Affiliation country: France
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Ageusia / Social Media / COVID-19 Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: JMIR Infodemiology Year: 2023 Type: Article Affiliation country: France