Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management

Exploring Public Sentiment on the Repurposing of Ivermectin for COVID-19 Treatment: Cross-Sectional Study Using Twitter Data

Angga Prawira Kautsar, Rano Kurnia Sinuraya, Jurjen van der Schans, Maarten Jacobus Postma, Auliya A Suwantika

JMIR Form Res 2025 (Mar 27); 9:e50536

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Understanding Interventions to Address Infodemics Through Epidemiological, Socioecological, and Environmental Health Models: Framework Analysis

Jennifer N John, Sara Gorman, David Scales

JMIR Infodemiology 2025 (Mar 24); 5:e67119

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Impact of Social Media Influencers on Amplifying Positive Public Health Messages

Gerard Thomas Flaherty, Ryan Michael Mangan

J Med Internet Res 2025 (Mar 21); 27:e73062

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Profiling Generalized Anxiety Disorder on Social Networks: Content and Behavior Analysis

Linah Alhazzaa, Vasa Curcin

J Med Internet Res 2025 (Mar 20); 27:e53399

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COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source

Sana Parveen, Agustin Garcia Pereira, Nathaly Garzon-Orjuela, Patricia McHugh, Aswathi Surendran, Heike Vornhagen, Akke Vellinga

JMIR Form Res 2025 (Mar 19); 9:e59687

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Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study

Dominika Grygarová, Marek Havlík, Petr Adámek, Jiří Horáček, Veronika Juríčková, Jaroslav Hlinka, Ladislav Kesner

JMIR Infodemiology 2025 (Mar 10); 5:e62913

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Ubiquitous News Coverage and Its Varied Effects in Communicating Protective Behaviors to American Adults in Infectious Disease Outbreaks: Time-Series and Longitudinal Panel Study

Anqi Shao, Kaiping Chen, Branden Johnson, Shaila Miranda, Qidi Xing

J Med Internet Res 2025 (Mar 10); 27:e64307

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Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study

Kwanho Kim, Soojong Kim

J Med Internet Res 2025 (Mar 04); 27:e63631

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Utilization and Experiences of Using Quit Now, a Nicotine and Tobacco Smoking Cessation Website: Thematic Analysis

Tala Salaheddin, Ramona H Sharma, Marcela Fajardo, Cameron Panter, Lauren De Souza, Sheila Kanyevu Matano, Laura Struik

J Med Internet Res 2025 (Mar 04); 27:e55592

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Crisis Communication About the Maui Wildfires on TikTok: Content Analysis of Engagement With Maui Wildfire–Related Posts Over 1 Year

Jim P Stimpson, Aditi Srivastava, Ketan Tamirisa, Joseph Keaweʻaimoku Kaholokula, Alexander N Ortega

JMIR Form Res 2025 (Mar 04); 9:e67515

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Recent Use of Novel Data Streams During Foodborne Illness Cluster Investigations by the United States Food and Drug Administration: Qualitative Review

Michael C Bazaco, Christina K Carstens, Tiffany Greenlee, Tyann Blessington, Evelyn Pereira, Sharon Seelman, Stranjae Ivory, Temesgen Jemaneh, Margaret Kirchner, Alvin Crosby, Stelios Viazis, Sheila van Twuyver, Michael Gwathmey, Tanya Malais, Oliver Ou, Stephanie Kenez, Nichole Nolan, Andrew Karasick, Cecile Punzalan, Colin Schwensohn, Laura Gieraltowski, Cary Chen Parker, Erin Jenkins, Stic Harris

JMIR Public Health Surveill 2025 (Feb 28); 11:e58797

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Leveraging Large Language Models for Infectious Disease Surveillance—Using a Web Service for Monitoring COVID-19 Patterns From Self-Reporting Tweets: Content Analysis

Jiacheng Xie, Ziyang Zhang, Shuai Zeng, Joel Hilliard, Guanghui An, Xiaoting Tang, Lei Jiang, Yang Yu, Xiufeng Wan, Dong Xu

J Med Internet Res 2025 (Feb 20); 27:e63190

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A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study

Elizabeth Sillence, Dawn Branley-Bell, Mark Moss, Pam Briggs

JMIR Infodemiology 2025 (Feb 13); 5:e59317

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Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis

Ilona Fridman, Dahlia Boyles, Ria Chheda, Carrie Baldwin-SoRelle, Angela B Smith, Jennifer Elston Lafata

JMIR Infodemiology 2025 (Feb 12); 5:e62703

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Visualizing YouTube Commenters’ Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making

Lana V Ivanitskaya, Elina Erzikova

JMIR Infodemiology 2025 (Feb 11); 5:e58227

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Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI

Ryuichi Saito, Sho Tsugawa

J Med Internet Res 2025 (Feb 11); 27:e63824

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Social Media Use and Oral Health–Related Misconceptions in Saudi Arabia: Cross-Sectional Study

Rahaf Hamdan BinHamdan, Salwa Abdulrahman Alsadhan, Arwa Zohair Gazzaz, AlBandary Hassan AlJameel

JMIR Form Res 2025 (Feb 10); 9:e70071

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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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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

J Med Internet Res 2025 (Feb 06); 27:e66072

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When Infodemic Meets Epidemic: Systematic Literature Review

Chaimae Asaad, Imane Khaouja, Mounir Ghogho, Karim Baïna

JMIR Public Health Surveill 2025 (Feb 03); 11:e55642

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