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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Infodemiology and Infoveillance (1349) Surveillance Systems (462) Mass Media/Social Media Communication and Campaigns (461) Participatory Epidemiology and Surveillance (119)

Published on in Vol 7, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29413, first published .
Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study

Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study

Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study

Authors of this article:

Qinglan Ding1, 2 Author Orcid Image ;   Daisy Massey1 Author Orcid Image ;   Chenxi Huang1 Author Orcid Image ;   Connor B Grady3 Author Orcid Image ;   Yuan Lu1, 4 Author Orcid Image ;   Alina Cohen5 Author Orcid Image ;   Pini Matzner5 Author Orcid Image ;   Shiwani Mahajan1, 4 Author Orcid Image ;   César Caraballo1, 4 Author Orcid Image ;   Navin Kumar6, 7 Author Orcid Image ;   Yuchen Xue8 Author Orcid Image ;   Rachel Dreyer9 Author Orcid Image ;   Brita Roy3, 10 Author Orcid Image ;   Harlan M Krumholz1, 4, 11 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Journals

  1. Silva C, Junior A, Lopes R. Predictive Analysis of COVID-19 Symptoms in Social Networks through Machine Learning. Electronics 2022;11(4):580 View
  2. Durazzi F, Pichard F, Remondini D, Salathé M. Dynamics of social media behavior before and after SARS-CoV-2 infection. Frontiers in Public Health 2023;10 View
  3. Couturier J, Norris M. The Shadow Pandemic: Eating Disorders, Youth, and COVID-19. Journal of Adolescent Health 2023;72(3):321 View
  4. Khashei M, Janiczak S, St. Clair C, Liu W, Song J, Hua W, Falconer M, Eworuke E. Social media for early characterization of pandemic symptoms: A qualitative analysis of patient‐reported COVID‐19 experiences. Pharmacoepidemiology and Drug Safety 2023;32(3):341 View
  5. Lewek P, Banaś I, Witkowski K, Lewek J, Kardas P. The prevalence of symptoms and its correlation with sex in polish COVID-19 adult patients: Cross-sectional online open survey. Frontiers in Medicine 2023;10 View
  6. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  7. Wang D, Lentzen M, Botz J, Valderrama D, Deplante L, Perrio J, Génin M, Thommes E, Coudeville L, Fröhlich H. Development of an early alert model for pandemic situations in Germany. Scientific Reports 2023;13(1) View
  8. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View