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

Infoveillance and Social Listening (209) Infodemiology and Infoveillance (1349) Smoking Cessation (556)

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

Authors of this article:

Nnamdi C Ezike1 Author Orcid Image ;   Allison Ames Boykin1 Author Orcid Image ;   Page D Dobbs1 Author Orcid Image ;   Huy Mai2 Author Orcid Image ;   Brian A Primack3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

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, United States

2 College of Engineering, University of Arkansas, Fayetteville, AR, United States

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

Corresponding Author:

  • Nnamdi C Ezike, BSc, MSc, PhD
  • College of Education and Health Professions
  • University of Arkansas
  • 751 W Maple Street
  • Fayetteville, AR, 72701
  • United States
  • Phone: 1 479 575 3586
  • Email: ncezike@uark.edu