Infodemiology and Infoveillance

Analyzing Citizens’ and Health Care Professionals’ Searches for Smell/Taste Disorders and Coronavirus in Finland During the COVID-19 Pandemic: Infodemiological Approach Using Database Logs

Milla Mukka, Samuli Pesälä, Charlotte Hammer, Pekka Mustonen, Vesa Jormanainen, Hanna Pelttari, Minna Kaila, Otto Helve

JMIR Public Health Surveill 2021 (Dec 07); 7(12):e31961

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Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL

Danny Valdez, Jennifer B Unger

JMIR Infodemiology 2021 (Dec 07); 1(1):e29011

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COVID-19 Information Sources and Health Behaviors During Pregnancy: Results From a Prenatal App-Embedded Survey

James Bohnhoff, Alexander Davis, Wändi Bruine de Bruin, Tamar Krishnamurti

JMIR Infodemiology 2021 (Dec 07); 1(1):e31774

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Impact of the COVID-19 Pandemic on a Physician Group’s WhatsApp Chat: Qualitative Content Analysis

Sawsan Abdel-Razig, Pascale Anglade, Halah Ibrahim

JMIR Form Res 2021 (Dec 07); 5(12):e31791

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Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis

Iain Cruickshank, Tamar Ginossar, Jason Sulskis, Elena Zheleva, Tanya Berger-Wolf

J Med Internet Res 2021 (Dec 03); 23(12):e29127

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Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study

Jueman Zhang, Yi Wang, Molu Shi, Xiuli Wang

JMIR Public Health Surveill 2021 (Dec 03); 7(12):e32814

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Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

Kazuya Taira, Rikuya Hosokawa, Tomoya Itatani, Sumio Fujita

JMIR Public Health Surveill 2021 (Dec 03); 7(12):e34016

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Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study

Zihui Xiong, Liang Zhang, Zhong Li, Wanchun Xu, Yan Zhang, Ting Ye

J Med Internet Res 2021 (Dec 02); 23(12):e30855

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A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness

Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning

JMIR Med Inform 2021 (Nov 29); 9(11):e29768

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Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Andrzej Jarynowski, Alexander Semenov, Mikołaj Kamiński, Vitaly Belik

J Med Internet Res 2021 (Nov 29); 23(11):e30529

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Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study

Katja Reuter, Praveen Angyan, NamQuyen Le, Thomas A Buchanan

JMIR Form Res 2021 (Nov 26); 5(11):e29958

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Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study

Yankun Gao, Zidian Xie, Li Sun, Chenliang Xu, Dongmei Li

JMIR Public Health Surveill 2021 (Nov 25); 7(11):e29600

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Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Ming Yi Tan, Charlene Enhui Goh, Hee Hon Tan

JMIR Form Res 2021 (Nov 25); 5(11):e31366

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Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis

Elias Assaf, Robert M Bond, Skyler J Cranmer, Eloise E Kaizar, Lauren Ratliff Santoro, Susumu Shikano, David J Sivakoff

J Med Internet Res 2021 (Nov 23); 23(11):e25287

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The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study

Andrea W Wang, Jo-Yu Lan, Ming-Hung Wang, Chihhao Yu

JMIR Med Inform 2021 (Nov 23); 9(11):e30467

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Obesity-Related Communication in Digital Chinese News From Mainland China, Hong Kong, and Taiwan: Automated Content Analysis

Angela Chang, Peter Johannes Schulz, Wen Jiao, Matthew Tingchi Liu

JMIR Public Health Surveill 2021 (Nov 23); 7(11):e26660

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COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies

Goran Muric, Yusong Wu, Emilio Ferrara

JMIR Public Health Surveill 2021 (Nov 17); 7(11):e30642

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Patients’ and Health Care Workers’ Perception of Migraine Images on the Internet: Cross-sectional Survey Study

Bianca Raffaelli, Pia Kull, Jasper Mecklenburg, Lucas Hendrik Overeem, Elisabeth Storch, Maria Terhart, Lars Neeb, Uwe Reuter

J Med Internet Res 2021 (Nov 12); 23(11):e32707

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Causal Effects of Alcohol-Related Facebook Posts on Drinking Behavior: Longitudinal Experimental Study

Hanneke Hendriks, Wouter de Nooy, Winifred A Gebhardt, Bas van den Putte

J Med Internet Res 2021 (Nov 11); 23(11):e28237

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A Neural Network Approach for Understanding Patient Experiences of Chronic Obstructive Pulmonary Disease (COPD): Retrospective, Cross-sectional Study of Social Media Content

Tobe Che Benjamin Freeman, Raul Rodriguez-Esteban, Juergen Gottowik, Xing Yang, Veit Johannes Erpenbeck, Mathias Leddin

JMIR Med Inform 2021 (Nov 11); 9(11):e26272

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