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

Public (e)Health, Digital Epidemiology and Public Health Informatics (839) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (899) Pharmacovigilance (151) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1079) Substance Abuse (450) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1753) Natural Language Processing (768) Information Seeking, Information Needs (516) Infodemiology and Infoveillance (1433)

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
Article Authors Cited by (8) Tweetations (4) Metrics
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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Results and Methodological Implications of the #Digital Epidemiology of Prescription Drug References Among #Twitter Users: Latent Dirichlet Allocation (LDA) Analyses https://t.co/gt8HeZKIsd https://t.co/X1clvRARMZ

3:19 PM · Jul 28, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Results and Methodological Implications of the #Digital Epidemiology of Prescription Drug References Among #Twitt…

3:20 PM · Jul 28, 2023

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Mary Mary @bcastbloggers

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses https://t.co/aNV6JuX7oB

8:54 PM · Aug 05, 2023

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You Belong Here You Belong Here @IU_AHS

Interested in how Twitter users may contribute to the increasing drug overdose epidemic? Check out this new publication, co-authored by Dr. Danny Valdez and Dr. Jon Agley. Read it here: https://t.co/bAHeYgaLwS #IUB #Epidemiology #AppliedHealth https://t.co/jcwBS1aXA0

7:50 PM · Aug 07, 2023

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Eric Walsh-Buhi Eric Walsh-Buhi @ebuhi

RT @IU_AHS: Interested in how Twitter users may contribute to the increasing drug overdose epidemic? Check out this new publication, co-aut…

8:09 PM · Aug 07, 2023

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