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

Journals

  1. Anwar M, Khoury D, Aldridge A, Parker S, Conway K. Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study. JMIR Public Health and Surveillance 2020;6(2):e17574 View
  2. Xue J, Chen J, Chen C, Zheng C, Li S, Zhu T, Zhao J. Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter. PLOS ONE 2020;15(9):e0239441 View
  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
  4. Doogan C, Buntine W, Linger H, Brunt S. Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(9):e21419 View