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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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| 157 | 271 | 39 | |
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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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| 95 | 17 | 26 | |
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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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| 221 | 116 | 25 | |
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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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| 39 | 163 | 19 | |
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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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| 16 | 19 | 17 | |
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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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| 102 | 76 | 14 | |
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Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
JMIR Infodemiology 2021;1(1):e32127
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| 19 | 10 | 12 | |
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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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| 63 | 5 | 11 | |
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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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| 15 | 14 | 11 | |
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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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| 38 | 29 | 9 | |
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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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| 27 | 9 | 7 | |
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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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| 37 | 72 | 7 | |
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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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| 31 | 22 | 7 | |
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COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
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| 45 | 118 | 7 | |
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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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| 34 | 11 | 6 | |
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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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| 14 | 40 | 6 | |
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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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| 105 | 4 | 6 | |
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Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022;2(1):e37115
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| 51 | 32 | 6 | |
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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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| 14 | 21 | 5 | |
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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;2(1):e31473
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| 44 | 7 | 5 | |
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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;2(1):e32372
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| 13 | 29 | 4 | |
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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;2(1):e32449
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| 29 | 12 | 4 | |
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Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media
JMIR Infodemiology 2022;2(1):e33827
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| 59 | 8 | 4 | |
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Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas
JMIR Infodemiology 2021;1(1):e29387
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| 5 | 49 | 4 | |
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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;2(1):e29894
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| 61 | 15 | 4 | |