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

Diabetes Surveillance and Epidemiology (15) Infodemiology and Infoveillance (1166) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (946)

Published on in Vol 5, No 1 (2020): Jan-Mar

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Authors of this article:

Heather Griffis 1 Author Orcid Image ;   David A Asch 2 Author Orcid Image ;   H Andrew Schwartz 3 Author Orcid Image ;   Lyle Ungar 2 Author Orcid Image ;   Alison M Buttenheim 2 Author Orcid Image ;   Frances K Barg 2 Author Orcid Image ;   Nandita Mitra 2 Author Orcid Image ;   Raina M Merchant 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

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  3. Iglesias‐Puzas Á, Conde‐Taboada A, Aranegui‐Arteaga B, López‐Bran E. Understanding the role of social media to support patients with mastocytosis: Content analysis of Facebook communities. Australasian Journal of Dermatology 2021;62(2) View
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  5. Nagpal M, Barbaric A, Sherifali D, Morita P, Cafazzo J. Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping Review. JMIR Diabetes 2021;6(4):e29027 View
  6. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  7. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View