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

Surveillance Systems (514) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1000) Infectious Diseases (non-STD/STI) (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1543) Patient-Reported Outcome Measures (PROMs) (373) Natural Language Processing (919) Chronic Conditions (436)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47064, first published .
Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports

Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports

Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports

Authors of this article:

Nick S Menger1 Author Orcid Image ;   Arnaud Tognetti2, 3 Author Orcid Image ;   Michael C Farruggia4 Author Orcid Image ;   Carla Mucignat5 Author Orcid Image ;   Surabhi Bhutani6 Author Orcid Image ;   Keiland W Cooper7 Author Orcid Image ;   Paloma Rohlfs Domínguez8 Author Orcid Image ;   Thomas Heinbockel9 Author Orcid Image ;   Vonnie D C Shields10 Author Orcid Image ;   Anna D'Errico11 Author Orcid Image ;   Veronica Pereda-Loth12 Author Orcid Image ;   Denis Pierron12 Author Orcid Image ;   Sachiko Koyama13 Author Orcid Image ;   Ilja Croijmans14, 15 Author Orcid Image
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Journals

  1. Lövestam E, Sandvik P, Lindberg F, Neuman N. Eating post-pleasure: a phenomenological exploration of loss, disgust and dislocation in the sensory worlds of individuals with persistent chemosensory dysfunction following COVID-19. Psychology & Health 2025:1 View