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

Infoveillance and Social Listening (214) JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1667)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39849, first published .
Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media

Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media

Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media

Authors of this article:

Amélia Déguilhem1 Author Orcid Image ;   Joelle Malaab1 Author Orcid Image ;   Manissa Talmatkadi1 Author Orcid Image ;   Simon Renner1 Author Orcid Image ;   Pierre Foulquié1 Author Orcid Image ;   Guy Fagherazzi2 Author Orcid Image ;   Paul Loussikian1 Author Orcid Image ;   Tom Marty1 Author Orcid Image ;   Adel Mebarki1 Author Orcid Image ;   Nathalie Texier1 Author Orcid Image ;   Stephane Schuck1 Author Orcid Image
Article Authors Cited by (10) Tweetations (9) Metrics

Journals

  1. Cheston K, Cenedese M, Woods A. The Long or the Post of It? Temporality, Suffering, and Uncertainty in Narratives Following COVID-19. Journal of Medical Humanities 2023 View
  2. Ahmad I, Amelio A, Merla A, Scozzari F. A survey on the role of artificial intelligence in managing Long COVID. Frontiers in Artificial Intelligence 2024;6 View
  3. Chepo M, Martin S, Déom N, Khalid A, Vindrola-Padros C. Twitter Analysis of Health Care Workers’ Sentiment and Discourse Regarding Post–COVID-19 Condition in Children and Young People: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e50139 View
  4. Saeed Alshaali A, Muthukrishnan R, Arulsingh D.R W, Alnuaimi N. Empowering Recovery: Knowledge, Attitude, and Experience among the Physiotherapy Fraternity for Long COVID Rehabilitation: A Cross-sectional Study. Middle East Journal of Rehabilitation and Health Studies 2024;11(4) View
  5. Benito D, Robles J, Ramírez J, Anta A, Aguilar J. An In-Depth Analysis of COVID-19 Symptoms Considering the Co-Occurrence of Symptoms Using Clustering Algorithms. IEEE Access 2024;12:127792 View
  6. AbuRaed A, Prikryl E, Carenini G, Janjua N. Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data. Journal of Medical Internet Research 2024;26:e59425 View
  7. Turki M, Bouattour N, Ben Ayed H, Msaad S, Chaari I, Messedi N, Gargouri R, kamoun S, Yaich S, Aribi L, Halouani N, Ellouze S, Aloulou J. Sleep Disturbances in Long COVID: A Cohort Prospective Study. Sleep and Vigilance 2024;8(2):291 View
  8. Mfouth Kemajou P, Mbanya A, Coppieters Y. Digital approaches in post-COVID healthcare: a systematic review of technological innovations in disease management. Biology Methods and Protocols 2024;9(1) View
  9. Schuck S, Loussikian P, Mebarki A, Malaab J, Foulquié P, Talmatkadi M, Kearney M. Perceived unmet needs and impact on quality of life of patients living with advanced bladder cancer and their caregivers: results of a social media listening study conducted in five European countries. BMC Cancer 2024;24(1) View