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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

1105 271 89
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

645 17 65
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

703 116 51
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

286 163 41
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

520 76 31
Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

JMIR Infodemiology 2022;2(1):e32335

265 16 26
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

363 72 25
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

104 29 25
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

JMIR Infodemiology 2021;1(1):e32127

116 10 25
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

1150 153 25
Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

JMIR Infodemiology 2022;2(1):e33909

200 5 21
Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study

JMIR Infodemiology 2021;1(1):e26895

187 9 20
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

106 19 20
Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study

JMIR Infodemiology 2021;1(1):e33330

154 11 20
Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana

JMIR Infodemiology 2022;2(2):e37134

203 3 20
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis

JMIR Infodemiology 2022;2(1):e32452

357 118 19
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

JMIR Infodemiology 2023;3(1):e48620

1254 7 17
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

300 22 16
Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study

JMIR Infodemiology 2022;2(1):e33587

116 21 15
TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study

JMIR Infodemiology 2024;4(1):e54663

2958 6 15
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

141 14 15
Advancing Infodemiology in a Digital Intensive Era

JMIR Infodemiology 2022;2(1):e37115

301 32 15
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

347 4 14
Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study

JMIR Infodemiology 2022;2(1):e31259

105 15 13
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

126 40 12

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