Published on in Vol 2 , No 2 (2022) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37412, first published .
Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series

Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series

Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series

Nnamdi C Ezike 1 , BSc, MSc, PhD ;   Allison Ames Boykin 1 , BSc, MSc, PhD ;   Page D Dobbs 1 , BSc, MSc, PhD ;   Huy Mai 2 , BSc ;   Brian A Primack 3 , BA, EdM, MD, MSc, PhD

1 College of Education and Health Professions , University of Arkansas , Fayetteville , AR , US

2 College of Engineering , University of Arkansas , Fayetteville , AR , US

3 College of Public Health and Human Sciences , Oregon State University , Corvallis , OR , US

Corresponding Author:

  • Nnamdi C Ezike, BSc, MSc, PhD
  • College of Education and Health Professions
  • University of Arkansas
  • 751 W Maple Street
  • Fayetteville, AR
  • US
  • Phone: 1 479 575 3586
  • Email: ncezike@uark.edu