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

Infodemiology and Infoveillance (1274) Peer-to-Peer Support and Online Communities (597) Public (e)Health, Digital Epidemiology and Public Health Informatics (641) Natural Language Processing (644) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Urology (15)

Published on in Vol 24, No 1 (2022): January

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Authors of this article:

Gabriela Gonzalez1 Author Orcid Image ;   Kristina Vaculik2 Author Orcid Image ;   Carine Khalil2 Author Orcid Image ;   Yuliya Zektser3 Author Orcid Image ;   Corey Arnold4 Author Orcid Image ;   Christopher V Almario2 Author Orcid Image ;   Brennan Spiegel2 Author Orcid Image ;   Jennifer Anger5 Author Orcid Image
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