Published on in Vol 3, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13870, first published .
A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis

A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis

A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis

Journals

  1. Nydahl P, Hermes C, Spindelmann E, Kaltwasser A, Schaller S. Netzwerk Frühmobilisierung. Medizinische Klinik - Intensivmedizin und Notfallmedizin 2020;115(6):498 View
  2. Ahmed W, López Seguí F, Vidal-Alaball J, Katz M. COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(10):e22374 View
  3. Eibensteiner F, Ritschl V, Nawaz F, Fazel S, Tsagkaris C, Kulnik S, Crutzen R, Klager E, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov A. People’s Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis. Journal of Medical Internet Research 2021;23(4):e28973 View
  4. Pollack C, Gilbert-Diamond D, Alford-Teaster J, Onega T. Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2021;23(6):e28648 View
  5. Binkheder S, Aldekhyyel R, AlMogbel A, Al-Twairesh N, Alhumaid N, Aldekhyyel S, Jamal A. Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(24):13388 View
  6. Mann M, Ginder W, Byun S. Highs and Lows of Cannabis Decriminalization: Twitter Analysis and Ethical and Regulatory Implications for Retailing and Marketing. Journal of Global Marketing 2022;35(1):57 View
  7. Mondal H, Parvanov E, Singla R, Rayan R, Nawaz F, Ritschl V, Eibensteiner F, Siva Sai C, Cenanovic M, Devkota H, Hribersek M, De R, Klager E, Kletecka-Pulker M, Völkl-Kernstock S, Khalid G, Lordan R, Găman M, Shen B, Stamm T, Willschke H, Atanasov A. Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?. Frontiers in Medicine 2022;9 View
  8. Mondal S, Modak P, Selim M, Mondal H, Baidya C, Hribersek M, Singla R, Shen B, Atanasov A. Twitter Poll as a Medium for Questionnaire-Based Health Survey: An Experience of a Pilot Study on the Preference of Systems of Medicine for Various Health Conditions. Cureus 2022 View
  9. Ahmed W, Vidal-Alaball J, Vilaseca Llobet J. Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data. JMIR Infodemiology 2023;3:e39209 View
  10. Ritschl V, Eibensteiner F, Mosor E, Omara M, Sperl L, Nawaz F, Siva Sai C, Cenanovic M, Devkota H, Hribersek M, De R, Klager E, Schaden E, Kletecka-Pulker M, Völkl-Kernstock S, Willschke H, Aufricht C, Atanasov A, Stamm T. Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion. JMIR Formative Research 2022;6(6):e35754 View
  11. Pollack C, Gilbert-Diamond D, Onega T, Vosoughi S, O'Malley A, Emond J. Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation. JMIR Infodemiology 2023;3:e40005 View
  12. Basumatary B, Gul S, Verma M. Social attention to the scientific publications on mHealth research during Covid-19 outbreak: An altmetric study. Iberoamerican Journal of Science Measurement and Communication 2023;3(2) View
  13. Mondal H, Mondal S, Ray N. Student perceptions of Twitter poll-based formative assessment in a rural medical college in India. Advances in Physiology Education 2023;47(4):803 View
  14. Jensen R, Rohde J, Muro A, Schweppe C, Vanderpool R. Analysis of Telehealth Discussion Trends on Reddit (2019–2022). Telemedicine and e-Health 2024;30(6):e1790 View
  15. Trang S, Trenz M, Weiger W. Don’t count your chickens before they hatch: Conceptualizing and exploring deviations from polls during public health app releases. Journal of Information Technology 2024 View