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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Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study

Xengie Doan, Arianna Rossi, Marietjie Botes, Annika Selzer

JMIR Hum Factors 2024 (Apr 30); 11:e53113

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Development of a Medical Social Media Ethics Scale and Assessment of #IRad, #CardioTwitter, and #MedTwitter Posts: Mixed Methods Study

Vongai Christine Mlambo, Eric Keller, Caroline Mussatto, Gloria Hwang

JMIR Infodemiology 2024 (Mar 27); 4:e47770

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Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Nikhil Valsan Kulangareth, Jaycee Kaufman, Jessica Oreskovic, Yan Fossat

JMIR Biomed Eng 2024 (Mar 21); 9:e56245

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Quality of Web-Based Sickle Cell Disease Resources for Health Care Transition: Website Content Analysis

Thomas Annesi, Caren Steinway, Toyosi Oluwole, Steffi Shilly, Dava Szalda, Regina Myers, Jack Chen, Sophia Jan

JMIR Pediatr Parent 2023 (Dec 13); 6:e48924

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Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

Nekabari Sigalo, Vanessa Frias-Martinez

JMIR Infodemiology 2023 (Nov 30); 3:e43700

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Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis

Tingyan Luo, Jie Zhou, Jing Yang, Yulan Xie, Yiru Wei, Huanzhuo Mai, Dongjia Lu, Yuecong Yang, Ping Cui, Li Ye, Hao Liang, Jiegang Huang

J Med Internet Res 2023 (Oct 30); 25:e49400

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Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Kashish Malhotra, Punith Kempegowda

J Med Internet Res 2023 (Sep 11); 25:e49220

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Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification

Dhiraj Murthy, Juhan Lee, Hassan Dashtian, Grace Kong

JMIR Infodemiology 2023 (Apr 12); 3:e42218

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Tracking Exposure to Ads Amid the COVID-19 Pandemic: Development of a Public Google Ads Data Set

Reham Al Tamime, Ingmar Weber

JMIR Data 2021 (Sep 14); 2(1):e22446

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