Published on in Vol 1, No 1 (2015): Jan-Jun

Using Twitter to Measure Public Discussion of Diseases: A Case Study

Using Twitter to Measure Public Discussion of Diseases: A Case Study

Using Twitter to Measure Public Discussion of Diseases: A Case Study

Journals

  1. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315 View
  2. Sinnenberg L, Buttenheim A, Padrez K, Mancheno C, Ungar L, Merchant R. Twitter as a Tool for Health Research: A Systematic Review. American Journal of Public Health 2017;107(1):e1 View
  3. Alvaro N, Miyao Y, Collier N. TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations. JMIR Public Health and Surveillance 2017;3(2):e24 View
  4. Hammer M. Ethical Considerations When Using Social Media for Research. Oncology Nursing Forum 2017;44(4):410 View
  5. Griffis H, Asch D, Schwartz H, Ungar L, Buttenheim A, Barg F, Mitra N, Merchant R. Using Social Media to Track Geographic Variability in Language About Diabetes: Analysis of Diabetes-Related Tweets Across the United States. JMIR Diabetes 2020;5(1):e14431 View
  6. Xue J, Chen J, Gelles R. Using Data Mining Techniques to Examine Domestic Violence Topics on Twitter. Violence and Gender 2019;6(2):105 View
  7. Wang Z, Bauch C, Bhattacharyya S, d'Onofrio A, Manfredi P, Perc M, Perra N, Salathé M, Zhao D. Statistical physics of vaccination. Physics Reports 2016;664:1 View
  8. Albalawi Y, Sixsmith J. Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era. JMIR Public Health and Surveillance 2015;1(2):e21 View
  9. Thomas J, Prabhu A, Heron D, Beriwal S. Twitter and brachytherapy: An analysis of “tweets” over six years by patients and health care professionals. Brachytherapy 2018;17(6):1004 View
  10. Tufts C, Polsky D, Volpp K, Groeneveld P, Ungar L, Merchant R, Pelullo A. Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis. JMIR Public Health and Surveillance 2018;4(4):e10834 View
  11. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273 View
  12. Salem J, Borgmann H, Bultitude M, Fritsche H, Haferkamp A, Heidenreich A, Miernik A, Neisius A, Knoll T, Thomas C, Tsaur I, Sands J. Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content. PLOS ONE 2016;11(8):e0160863 View
  13. Radzikowski J, Stefanidis A, Jacobsen K, Croitoru A, Crooks A, Delamater P. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1 View
  14. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  15. Kim A, Hopper T, Simpson S, Nonnemaker J, Lieberman A, Hansen H, Guillory J, Porter L. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Journal of Medical Internet Research 2015;17(11):e251 View
  16. Daniulaityte R, Chen L, Lamy F, Carlson R, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162 View
  17. Drewnowski A, Caballero B, Das J, French J, Prentice A, Fries L, van Koperen T, Klassen-Wigger P, Rolls B. Novel public–private partnerships to address the double burden of malnutrition. Nutrition Reviews 2018;76(11):805 View
  18. Noll-Hussong M. Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context. JMIR Public Health and Surveillance 2017;3(1):e15 View
  19. Gencoglu O. Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603 View
  20. Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85 View
  21. Thelwall M, Makita M, Mas-Bleda A, Stuart E. “My ADHD Hellbrain”: A Twitter Data Science Perspective on a Behavioural Disorder. Journal of Data and Information Science 2021;6(1):13 View
  22. Kim I, Begay C, Ma H, Orozco F, Rogers C, Valente T, Unger J. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067 View
  23. Nawaz F, Riaz M, Tsagkaris C, Faisal U, Klager E, Kletecka-Pulker M, Kimberger O, Willschke H, Khan N, Sultan M, Atanasov A. Impact of #PsychTwitter in promoting global psychiatry: A hashtag analysis study. Frontiers in Public Health 2023;11 View
  24. Abbasi-Perez A, Alvarez-Mon M, Donat-Vargas C, Ortega M, Monserrat J, Perez-Gomez A, Sanz I, Alvarez-Mon M. Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter. International Journal of Environmental Research and Public Health 2021;18(17):9094 View
  25. Golder S, Stevens R, O'Connor K, James R, Gonzalez-Hernandez G. Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35788 View