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A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference
JMIR Infodemiology 2021;1(1):e30979
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| 949 | 271 | 80 | |
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Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
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| 558 | 17 | 61 | |
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Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations
JMIR Infodemiology 2021;1(1):e30971
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| 670 | 116 | 49 | |
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Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study
JMIR Infodemiology 2021;1(1):e28800
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| 264 | 163 | 38 | |
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Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
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| 481 | 76 | 27 | |
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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;2(1):e32378
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| 336 | 72 | 24 | |
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Examining the Public’s Most Frequently Asked Questions Regarding COVID-19 Vaccines Using Search Engine Analytics in the United States: Observational Study
JMIR Infodemiology 2021;1(1):e28740
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| 97 | 29 | 24 | |
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Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
JMIR Infodemiology 2021;1(1):e32127
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| 96 | 10 | 24 | |
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Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis
JMIR Infodemiology 2022;2(1):e32335
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| 260 | 16 | 24 | |
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Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference
JMIR Infodemiology 2023;3(1):e44207
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| 1017 | 153 | 22 | |
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Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study
JMIR Infodemiology 2021;1(1):e26895
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| 172 | 9 | 20 | |
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The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends
JMIR Infodemiology 2021;1(1):e29929
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| 91 | 19 | 20 | |
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COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
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| 325 | 118 | 19 | |
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Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts
JMIR Infodemiology 2022;2(1):e33909
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| 183 | 5 | 19 | |
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Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study
JMIR Infodemiology 2021;1(1):e33330
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| 133 | 11 | 17 | |
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Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana
JMIR Infodemiology 2022;2(2):e37134
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| 178 | 3 | 17 | |
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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;2(1):e35014
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| 262 | 22 | 14 | |
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Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis
JMIR Infodemiology 2021;1(1):e25636
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| 120 | 14 | 14 | |
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Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022;2(1):e37115
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| 269 | 32 | 14 | |
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Impact of the World Inflammatory Bowel Disease Day and Crohn’s and Colitis Awareness Week on Population Interest Between 2016 and 2020: Google Trends Analysis
JMIR Infodemiology 2021;1(1):e32856
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| 330 | 4 | 13 | |
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Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology Study
JMIR Infodemiology 2021;1(1):e31983
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| 112 | 40 | 12 | |
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Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
JMIR Infodemiology 2022;2(1):e31259
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| 96 | 15 | 12 | |
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Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study
JMIR Infodemiology 2022;2(1):e33587
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| 104 | 21 | 11 | |
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Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights
JMIR Infodemiology 2022;2(2):e37635
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| 140 | 15 | 11 | |
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Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media
JMIR Infodemiology 2022;2(2):e39849
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| 72 | 11 | 10 | |