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

Misinformation and Disinformation Outbreaks and Information Prevalence Studies (58) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1741) Social Media in Public Health informatics (47) Infectious Diseases (non-STD/STI) (1633) Respiratory Medicine (106) Drug Repurposing and Off-Label Use (26) Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (41)

Published on in Vol 4 (2024)

This is a member publication of Michigan State University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56675, first published .
Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Authors of this article:

Scott A Helgeson1 Author Orcid Image ;   Rohan M Mudgalkar2 Author Orcid Image ;   Keith A Jacobs2 Author Orcid Image ;   Augustine S Lee1 Author Orcid Image ;   Devang Sanghavi3 Author Orcid Image ;   Pablo Moreno Franco4 Author Orcid Image ;   Ian S Brooks2 Author Orcid Image ;   National COVID Cohort Collaborative (N3C)5
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View
  2. Biliotti C, Fraccaroli N, Puliga M, Bargagli-Stoffi F, Riccaboni M. The Impact of Stay-At-Home Mandates on Uncertainty and Sentiments: Quasi-Experimental Study. Journal of Medical Internet Research 2025;27:e64667 View