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

Public (e)Health, Digital Epidemiology and Public Health Informatics (637) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (783) Pharmacovigilance (125) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Substance Abuse (379) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) Natural Language Processing (637) Information Seeking, Information Needs (421) Infodemiology and Infoveillance (1270)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48405, first published .
Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Authors of this article:

Maria A Parker1 Author Orcid Image ;   Danny Valdez2 Author Orcid Image ;   Varun K Rao1, 3 Author Orcid Image ;   Katherine S Eddens1 Author Orcid Image ;   Jon Agley2 Author Orcid Image
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