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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19276, first published .
Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

Authors of this article:

Abdullah Wahbeh1 Author Orcid Image ;   Tareq Nasralah2 Author Orcid Image ;   Mohammad Al-Ramahi3 Author Orcid Image ;   Omar El-Gayar4 Author Orcid Image
Article Authors Cited by (59) Tweetations (2) Metrics

Abdullah Wahbeh   1 , DSC ;   Tareq Nasralah   2 , PhD ;   Mohammad Al-Ramahi   3 , DSC ;   Omar El-Gayar   4 , PhD

1 Slippery Rock University of Pennsylvania, Slippery Rock, PA, United States

2 Supply Chain and Information Management Group, D’Amore-McKim School of Business, Northeastern University, Boston, MA, United States

3 Texas A&M University-San Antonio, San Antonio, TX, United States

4 Dakota State University, Madison, SD, United States

Corresponding Author:

  • Tareq Nasralah, PhD
  • Supply Chain and Information Management Group
  • D’Amore-McKim School of Business
  • Northeastern University
  • 360 Huntington Ave.
  • Boston, MA, 02115
  • United States
  • Phone: 1 617-373-4460
  • Email: t.nasralah@northeastern.edu