Published on in Vol 17, No 6 (2015): June

Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?

Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?

Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?

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. Davis M, Zheng K, Liu Y, Levy H. Public Response to Obamacare on Twitter. Journal of Medical Internet Research 2017;19(5):e167 View
  3. Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni S, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179 View
  4. Zucco R, Lavano F, Anfosso R, Bianco A, Pileggi C, Pavia M. Internet and social media use for antibiotic-related information seeking: Findings from a survey among adult population in Italy. International Journal of Medical Informatics 2018;111:131 View
  5. Johnsen J, Eggesvik T, Rørvik T, Hanssen M, Wynn R, Kummervold P. Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content. JMIR Public Health and Surveillance 2019;5(1):e10432 View
  6. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  7. Chen S, Xu Q, Buchenberger J, Bagavathi A, Fair G, Shaikh S, Krishnan S. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. JMIR Public Health and Surveillance 2018;4(4):e10827 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. Du J, Tang L, Xiang Y, Zhi D, Xu J, Song H, Tao C. Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models. Journal of Medical Internet Research 2018;20(7):e236 View
  10. 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
  11. Cumbraos-Sánchez M, Hermoso R, Iñiguez D, Paño-Pardo J, Allende Bandres M, Latorre Martinez M. Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship. International Journal of Medical Informatics 2019;131:103955 View
  12. Anderson A, Angelillo I. Online health information and public knowledge, attitudes, and behaviours regarding antibiotics in the UK: Multiple regression analysis of Wellcome Monitor and Eurobarometer Data. PLOS ONE 2018;13(10):e0204878 View
  13. Hale A, Young V, Grand A, McNulty C. Can Gaming Increase Antibiotic Awareness in Children? A Mixed-Methods Approach. JMIR Serious Games 2017;5(1):e5 View
  14. 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
  15. Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B, Yang G. Deep Learning for Health Informatics. IEEE Journal of Biomedical and Health Informatics 2017;21(1):4 View
  16. KÜÇÜK D, ARICI N, KÜÇÜK E. Sosyal medyada otomatik halk sağlığı takibi: Güncel bir derleme. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2021 View
  17. 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
  18. Emmott R, Barber S, Thompson W. Antibiotics and toothache: a social media review. International Journal of Pharmacy Practice 2021;29(3):210 View
  19. Altan A. Emotional effect of the Covid-19 pandemic on oral surgery procedures: a social media analysis. Journal of Dental Anesthesia and Pain Medicine 2021;21(3):237 View
  20. Anderson A. Attitudes towards vaccination and knowledge about antibiotics: Analysis of Wellcome Monitor survey data. Vaccine 2022;40(22):3038 View
  21. 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
  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. Malik P, Singh S. Deep Learning Approaches and Biomarkers in Medical Diagnosis. Recent Patents on Engineering 2024;18(3) View

Books/Policy Documents

  1. Thaler S, Menkovski V. Data Science for Healthcare. View
  2. Hung C. Intelligent Nanotechnology. View
  3. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View
  4. G. D, Karegowda A. Deep Learning Applications and Intelligent Decision Making in Engineering. View
  5. Slavescu R, Pop F, Slavescu K. 7th International Conference on Advancements of Medicine and Health Care through Technology. View