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JMIR Infodemiology|April 28, 2023
Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media StudyQing Xu, Matthew C Nali, Tiana McMann, et al.
JMIR Infodemiology|April 28, 2023
Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology StudyJesus Trevino, Sanjeev Malik, Michael Schmidt
JMIR Infodemiology|April 28, 2023
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter AnalysisVlad Honcharov, Jiawei Li, Maribel Sierra, et al.
JMIR Infodemiology|April 28, 2023
Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation ScienceSahiti Myneni, Paula Cuccaro, Sarah Montgomery, et al.
JMIR Infodemiology|April 28, 2023
Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social MediaSamaneh Omranian, Maryam Zolnoori, Ming Huang, et al.
JMIR Infodemiology|April 28, 2023
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly DetectionAbeed Sarker, Sahithi Lakamana, Ruqi Liao, et al.
JMIR Infodemiology|May 24, 2023
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter StudyJacopo Lenti, Yelena Mejova, Kyriaki Kalimeri, et al.
JMIR Infodemiology|March 20, 2023
Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter DataWasim Ahmed, Josep Vidal-Alaball, Josep Maria Vilaseca Llobet
JMIR Infodemiology|August 30, 2021
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational StudyYipeng Zhang, Hanjia Lyu, Yubao Liu, et al.
JMIR Infodemiology|November 14, 2025
Public Interest in Dry Eye Disease and Its Association With Environmental Parameters in Taiwan: Google Trends Infodemiology StudyPo-Chun Chang, Tsung-Hsien Tsai, Shih-Chieh Shao, et al.
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