Data Sources and Open Data for Infodemiology

Development of Depression Data Sets and a Language Model for Depression Detection: Mixed Methods Study

Faye Beatriz Tumaliuan, Lorelie Grepo, Eugene Rex Jalao

JMIR Data 2024 (Sep 04); 3:e53365

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The Asymmetric Influence of Emotion in the Sharing of COVID-19 Science on Social Media: Observational Study

Kai Luo, Yang Yang, Hock Hai Teo

JMIR Infodemiology 2022 (Dec 08); 2(2):e37331

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Twitter Trends for Celiac Disease and the Gluten-Free Diet: Cross-sectional Descriptive Analysis

Monique Germone, Casey D Wright, Royce Kimmons, Shayna Skelley Coburn

JMIR Infodemiology 2022 (Dec 05); 2(2):e37924

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Users’ Modifications to Electronic Nicotine Delivery Systems: Content Analysis of YouTube Video Comments

Yachao Li, David L Ashley, Lucy Popova

JMIR Infodemiology 2022 (Aug 12); 2(2):e38268

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Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

Su Golder, Robin Stevens, Karen O'Connor, Richard James, Graciela Gonzalez-Hernandez

J Med Internet Res 2022 (Apr 29); 24(4):e35788

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Identifying the Socioeconomic, Demographic, and Political Determinants of Social Mobility and Their Effects on COVID-19 Cases and Deaths: Evidence From US Counties

Niloofar Jalali, N Ken Tran, Anindya Sen, Plinio Pelegrini Morita

JMIR Infodemiology 2022 (Mar 03); 2(1):e31813

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