Published on in Vol 17, No 12 (2015): December

Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data

Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data

Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data

Journals

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  2. Smart R, Kase C, Taylor E, Lumsden S, Smith S, Stein B. Strengths and weaknesses of existing data sources to support research to address the opioids crisis. Preventive Medicine Reports 2020;17:101015 View
  3. 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
  4. Mackey T, Kalyanam J, Klugman J, Kuzmenko E, Gupta R. Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access. Journal of Medical Internet Research 2018;20(4):e10029 View
  5. Mackey T, Kalyanam J, Katsuki T, Lanckriet G. Twitter-Based Detection of Illegal Online Sale of Prescription Opioid. American Journal of Public Health 2017;107(12):1910 View
  6. Sarker A, Gonzalez-Hernandez G, Ruan Y, Perrone J. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter. JAMA Network Open 2019;2(11):e1914672 View
  7. Kalyanam J, Katsuki T, R.G. Lanckriet G, Mackey T. Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning. Addictive Behaviors 2017;65:289 View
  8. Kim S, Marsch L, Hancock J, Das A. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353 View
  9. Chu K, Colditz J, Sidani J, Zimmer M, Primack B. Re-evaluating standards of human subjects protection for sensitive health data in social media networks. Social Networks 2019 View
  10. McLafferty S, Schneider D, Abelt K. Placing volunteered geographic health information: Socio-spatial bias in 311 bed bug report data for New York City. Health & Place 2020;62:102282 View
  11. Nicholson J, Marcum C, Higgins G. Predictors of Prescription Drug Misuse among High School Students in the United States. Deviant Behavior 2020:1 View
  12. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  13. Carreiro S, Chai P, Carey J, Chapman B, Boyer E. Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research. Journal of Medical Toxicology 2017;13(2):166 View
  14. Kalyanam J, Mackey T. A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse. Current Addiction Reports 2017;4(4):397 View
  15. Thaikla K, Pinyopornpanish K, Jiraporncharoen W, Angkurawaranon C. Cannabis and Kratom online information in Thailand: Facebook trends 2015–2016. Substance Abuse Treatment, Prevention, and Policy 2018;13(1) View
  16. Schwab-Reese L, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187 View
  17. Burke-Garcia A, Stanton C. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8 View
  18. Chou L, Chang K, Puspitasari I. Drug Abuse Research Trend Investigation with Text Mining. Computational and Mathematical Methods in Medicine 2020;2020:1 View
  19. Sarker A, DeRoos A, Perrone J. Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. Journal of the American Medical Informatics Association 2020;27(2):315 View
  20. Pinyopornpanish K, Jiraporncharoen W, Thaikla K, Yoonut K, Angkurawaranon C. Sedative and Analgesic Drugs Online: A Content Analysis of the Supply and Demand Information Available in Thailand. Substance Use & Misuse 2018;53(4):641 View
  21. 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
  22. Myrseth H, Pallesen S, Torsheim T, Erevik E. Prevalence and correlates of stimulant and depressant pharmacological cognitive enhancement among Norwegian students. Nordic Studies on Alcohol and Drugs 2018;35(5):372 View
  23. Palamar J, Le A, Acosta P. Posting, texting, and related social risk behavior while high. Substance Abuse 2020;41(3):382 View
  24. Guerra C, Mackey T. USA Criminal and Civil Prosecutions Associated with Illicit Online Pharmacies: Legal Analysis and Global Implications. Medicine Access @ Point of Care 2017;1:maapoc.0000020 View
  25. Mackey T, Kalyanam J. Detection of illicit online sales of fentanyls via Twitter. F1000Research 2017;6:1937 View
  26. Mackey T, Nayyar G. A review of existing and emerging digital technologies to combat the global trade in fake medicines. Expert Opinion on Drug Safety 2017;16(5):587 View
  27. Mackey T, Nayyar G. Digital danger: a review of the global public health, patient safety and cybersecurity threats posed by illicit online pharmacies. British Medical Bulletin 2016;118(1):110 View
  28. Zwier S. “Click for Closer Care”: A Content Analysis of Community Pharmacy Websites in Four Countries. Journal of Medical Internet Research 2017;19(6):e205 View
  29. Li J, Xu Q, Shah N, Mackey T. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study. Journal of Medical Internet Research 2019;21(6):e13803 View
  30. 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
  31. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  32. Liang Y, Guo B, Yu Z, Zheng X, Wang Z, Tang L. A multi-view attention-based deep learning system for online deviant content detection. World Wide Web 2021;24(1):205 View
  33. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187 View
  34. Guirguis A, Moosa I, Gittins R, Schifano F. What About Drug Checking? Systematic Review and Netnographic Analysis of Social Media. Current Neuropharmacology 2020;18(10):906 View
  35. Assaf R, Young K. Trends in Pediatric Recreational Drug Use and Ingestions. Advances in Pediatrics 2021 View

Books/Policy Documents

  1. Del Vigna F, Petrocchi M, Tommasi A, Zavattari C, Tesconi M. Social Informatics. View
  2. Spitzberg B, Tsou M, Jung C. The Handbook of Applied Communication Research. View
  3. Baratto G. The Illegal Trade of Medicines on Social Media. View
  4. Del Vigna F, Avvenuti M, Bacciu C, Deluca P, Petrocchi M, Marchetti A, Tesconi M. Advances in Intelligent Data Analysis XV. View
  5. Baratto G. The Illegal Trade of Medicines on Social Media. View