Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20794, first published .
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram

Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram

Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram

Tim Ken Mackey   1, 2, 3, 4 , MAS, PhD ;   Jiawei Li   2, 3, 4 , MS ;   Vidya Purushothaman   4, 5 , MBBS, MAS ;   Matthew Nali   1, 3, 4 , BA ;   Neal Shah   2, 4 , BS ;   Cortni Bardier   6 , BA, MA ;   Mingxiang Cai   3, 4 , MS ;   Bryan Liang   4 , MD, JD, PhD

1 Department of Anesthesiology and Division of Infectious Diseases and Global Public Health, School of Medicine, University of California, San Diego, La Jolla, CA, United States

2 Department of Healthcare Research and Policy, University of California, San Diego, La Jolla, CA, United States

3 S-3 Research LLC, San Diego, CA, United States

4 Global Health Policy and Data Institute, San Diego, CA, United States

5 Masters in Public Health Program, Department of Family Medicine and Public Health, University of California, San Diego - School of Medicine, La Jolla, CA, United States

6 Masters Program in Global Health, Department of Anthropology, University of California, San Diego, La Jolla, CA, United States

Corresponding Author:

  • Tim Ken Mackey, MAS, PhD
  • Department of Anesthesiology and Division of Infectious Diseases and Global Public Health
  • School of Medicine
  • University of California, San Diego
  • 8950 Villa La Jolla Drive
  • A124
  • La Jolla, CA, 92037
  • United States
  • Phone: 1 951-491-4161
  • Email: tmackey@ucsd.edu