Data Sources and Open Data for Infodemiology

On the Influence of Apologies on the Likelihood of Lawsuits in Cases of Perceived Medical Negligence: Analysis of Archival and Experimental Data

Nelly Arbel-Groissman, Eran Dorfman, Elad Yom-Tov, Paul D Feigin, Anat Rafaeli

J Med Internet Res 2025 (Oct 14); 27:e77493

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Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data

Yixiong Chen, Xue Zhang, Sheng Zhang, Wenjie Han, Ziqi Wang, Jian Chen, Jinfeng Liu, Jingru Feng, Jiayi Shi, Haoyu Long, Zicheng Cao, Jie Zhang, Yuan Li, Xiangjun Du, Xindong Zhang, Meng Ren

JMIR Infodemiology 2025 (Oct 09); 5:e75434

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Stillbirth Discourse on Instagram and X (Formerly Twitter): Content Analysis

Abigail Paradise Vit, Daniel Fraidin, Yaniv S Ovadia

JMIR Infodemiology 2025 (Sep 24); 5:e73980

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Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit

J'Andra Antisdel, Wendy R Miller, Doyle Groves

JMIR Infodemiology 2025 (Sep 03); 5:e75493

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How Women Discuss Heavy Menstrual Bleeding in Online Forums (“It’s Like Revenge of the Uterus”): Template Approach to Thematic Analysis

Emily Jade Young, Heather Mary Kirk

J Med Internet Res 2025 (Jul 02); 27:e73532

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Exploring Social Media Posts on Lifestyle Behaviors: Sentiment and Content Analysis

Yan Yee Yip, Mohd Ridzwan Yaakub, Mohd Makmor-Bakry, Muhammad Iqbal Abu Latiffi, Wei Wen Chong

JMIR Infodemiology 2025 (Jun 25); 5:e65835

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Assessing the Reliability and Validity of Principles for Health-Related Information on Social Media (PRHISM) for Evaluating Breast Cancer Treatment Videos on YouTube: Instrument Validation Study

Hiroki Kusama, Yoshimitsu Takahashi, Shunichiro Orihara, Kayo Adachi, Yumiko Ishizuka, Ryoko Semba, Hidetaka Shima, Yoshiya Horimoto, Hiroshi Kaise, Masataka Taguri, Sho Inoue, Takeo Nakayama, Takashi Ishikawa

JMIR Infodemiology 2025 (Jun 11); 5:e66416

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Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit

Daisy Harvey, Paul Rayson, Fiona Lobban, Jasper Palmier-Claus, Clare Dolman, Anne Chataigné, Steven Jones

JMIR Infodemiology 2025 (Mar 06); 5:e65632

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Exploring Psychological Trends in Populations With Chronic Obstructive Pulmonary Disease During COVID-19 and Beyond: Large-Scale Longitudinal Twitter Mining Study

Chunyan Zhang, Ting Wang, Caixia Dong, Duwei Dai, Linyun Zhou, Zongfang Li, Songhua Xu

J Med Internet Res 2025 (Mar 05); 27:e54543

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Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Farah Alshanik, Rawand Khasawneh, Alaa Dalky, Ethar Qawasmeh

JMIR Infodemiology 2025 (Feb 10); 5:e53434

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Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Chathuri Daluwatte, Alena Khromava, Yuning Chen, Laurence Serradell, Anne-Laure Chabanon, Anthony Chan-Ou-Teung, Cliona Molony, Juhaeri Juhaeri

JMIR Infodemiology 2024 (Dec 20); 4:e53424

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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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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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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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