2022
Vol. 2 (2022)
Vol 2, No 1 (2022): Jan-Jun
Misinformation and Disinformation Outbreaks and Information Prevalence Studies
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Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology Study
JMIR Infodemiology 2022 (Jan 27); 2(1):e29894
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Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale
JMIR Infodemiology 2022 (Feb 08); 2(1):e32378
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Constituents’ Inferences of Local Governments’ Goals and the Relationship Between Political Party and Belief in COVID-19 Misinformation: Cross-sectional Survey of Twitter Followers of State Public Health Departments
JMIR Infodemiology 2022 (Feb 10); 2(1):e29246
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(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic
JMIR Infodemiology 2022 (Feb 24); 2(1):e31793
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COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022 (Mar 14); 2(1):e32452
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Health and Risk Communication
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The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States
JMIR Infodemiology 2022 (Feb 10); 2(1):e31473
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The Moderating Role of Community Capacity for Age-friendly Communication in Mitigating Anxiety of Older Adults During the COVID-19 Infodemic: Cross-sectional Survey
JMIR Infodemiology 2022 (Feb 25); 2(1):e33029
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Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study
JMIR Infodemiology 2022 (Mar 16); 2(1):e31732
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Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study
JMIR Infodemiology 2022 (Mar 31); 2(1):e32449
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Editorial
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Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022 (Feb 14); 2(1):e37115
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Vaccination Sentiment and Anti-Vaccination Infodemiology
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Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis
JMIR Infodemiology 2022 (Feb 18); 2(1):e32372
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Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study
JMIR Infodemiology 2022 (Mar 16); 2(1):e33587
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Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts
JMIR Infodemiology 2022 (Apr 15); 2(1):e33909
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Infoveillance and Social Listening
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Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
JMIR Infodemiology 2022 (Feb 22); 2(1):e31259
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US Black Maternal Health Advocacy Topics and Trends on Twitter: Temporal Infoveillance Study
JMIR Infodemiology 2022 (Apr 20); 2(1):e30885
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Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study
JMIR Infodemiology 2022 (Apr 22); 2(1):e32386
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Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study
JMIR Infodemiology 2022 (Apr 28); 2(1):e35446
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Data Sources and Open Data for Infodemiology
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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
JMIR Infodemiology 2022 (Mar 03); 2(1):e31813
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Infodemic Management
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Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media
JMIR Infodemiology 2022 (Apr 13); 2(1):e33827
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Viewpoints
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Health Literacy, Equity, and Communication in the COVID-19 Era of Misinformation: Emergence of Health Information Professionals in Infodemic Management
JMIR Infodemiology 2022 (Apr 28); 2(1):e35014
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