|
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference
JMIR Infodemiology 2021;1(1):e30979
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1105 | 271 | 89 | |
|
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 286 | 163 | 41 | |
|
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 104 | 29 | 25 | |
|
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
JMIR Infodemiology 2021;1(1):e32127
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1150 | 153 | 25 | |
|
Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts
JMIR Infodemiology 2022;2(1):e33909
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 106 | 19 | 20 | |
|
Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study
JMIR Infodemiology 2021;1(1):e33330
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 203 | 3 | 20 | |
|
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 300 | 22 | 16 | |
|
Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study
JMIR Infodemiology 2022;2(1):e33587
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 141 | 14 | 15 | |
|
Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022;2(1):e37115
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 347 | 4 | 14 | |
|
Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
JMIR Infodemiology 2022;2(1):e31259
Go back to the top of the top articles page
Skip top articles and go to footer section
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 126 | 40 | 12 | |