This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Methods and New Tools in Mental Health Research (454) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 18, No 2 (2016): February

Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?

Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?

Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?

Authors of this article:

Wojciech Jankowski1, 2 Author Orcid Image ;   Marcin Hoffmann1 Author Orcid Image
Article Authors Cited by (13) Tweetations (24) Metrics

Journals

  1. Zhang Z, Zheng X, Zeng D, Leischow S. Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States. Journal of Medical Internet Research 2016;18(9):e252 View
  2. Lambrou G, Hatziagapiou K, Toumpaniaris P, Ioannidou P, Koutsouris D. Computational Modelling in Epidemiological Dispersion Using Diffusion and Epidemiological Equations. International Journal of Reliable and Quality E-Healthcare 2019;8(4):1 View
  3. Poon J, Gjorgjievski M, Moga I, Ristevski B. Quality and Accuracy of Information Available on Websites for Distracted Driving: Qualitative Analysis. Interactive Journal of Medical Research 2019;8(4):e16154 View
  4. Kapitány‐Fövény M, Demetrovics Z. Utility ofWeb search query data in testing theoretical assumptions about mephedrone. Human Psychopharmacology: Clinical and Experimental 2017;32(3) View
  5. May N, Eliott J, Crabb S. ‘Alcohol causes cancer’: a difficult message for Australians to swallow. Health Promotion International 2022;37(1) View
  6. Ghosh A, Kaur S, Roub F. Use and interest of electronic nicotine delivery systems (ENDS): Assessing the validity of Google Trends. The American Journal of Drug and Alcohol Abuse 2021;47(4):414 View
  7. Ghosh A, Bisaga A, Kaur S, Mahintamani T. Google Trends Data: A Potential New Tool for Monitoring the Opioid Crisis. European Addiction Research 2022;28(1):33 View
  8. Keller R, Spanu A, Puhan M, Flahault A, Lovis C, Mütsch M, Beau-Lejdstrom R. Social media and internet search data to inform drug utilization: A systematic scoping review. Frontiers in Digital Health 2023;5 View
  9. Martínez-Aguilar L, Sanz-Lorente M, Martínez-Martínez F, Faus M, Sanz-Valero J. Public interest in drug-related problems reflected in information search trends: an infodemiological study. DARU Journal of Pharmaceutical Sciences 2024;32(2):537 View
  10. Gao Y, Xu A, Hu P. Mining Patient-Generated Content for Medication Relations and Transition Network to Predict the Rankings and Volumes of Different Medications. Information Systems Frontiers 2024 View
  11. Bhagavathula A, Dobbs P. Online Interest in Elf Bar in the United States: Google Health Trends Analysis. Journal of Medical Internet Research 2024;26:e50343 View

Books/Policy Documents

  1. Ghosh A, Choudhury S, Narasimha V. Handbook of Substance Misuse and Addictions. View
  2. Ghosh A, Choudhury S, Narasimha V. Handbook of Substance Misuse and Addictions. View