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, US

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

3 S-3 Research LLC , San Diego, CA, US

4 Global Health Policy and Data Institute , San Diego, CA, US

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

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

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
  • US
  • Phone: 1 951-491-4161
  • Email: tmackey@ucsd.edu