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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

157 271 39
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

95 17 26
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

221 116 25
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

39 163 19
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

16 19 17
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

102 76 14
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

JMIR Infodemiology 2021;1(1):e32127

19 10 12
Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

JMIR Infodemiology 2022;2(1):e33909

63 5 11
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

15 14 11
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

38 29 9
Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study

JMIR Infodemiology 2021;1(1):e26895

27 9 7
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

37 72 7
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

31 22 7
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis

JMIR Infodemiology 2022;2(1):e32452

45 118 7
Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study

JMIR Infodemiology 2021;1(1):e33330

34 11 6
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

14 40 6
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

105 4 6
Advancing Infodemiology in a Digital Intensive Era

JMIR Infodemiology 2022;2(1):e37115

51 32 6
Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study

JMIR Infodemiology 2022;2(1):e33587

14 21 5
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

44 7 5
Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis

JMIR Infodemiology 2022;2(1):e32372

13 29 4
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

29 12 4
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

JMIR Infodemiology 2022;2(1):e33827

59 8 4
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

5 49 4
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

61 15 4

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