| Google Trends in Infodemiology and Infoveillance: Methodology Framework |
35 |
| Sentiment Analysis of Health Care Tweets: Review of the Methods Used |
18 |
| Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis |
13 |
| Representations of Codeine Misuse on Instagram: Content Analysis |
12 |
| Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights |
12 |
| Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study |
12 |
| #PrEP4Love: An Evaluation of a Sex-Positive HIV Prevention Campaign |
12 |
| Junk Food Marketing on Instagram: Content Analysis |
11 |
| Spatial Access and Willingness to Use Pre-Exposure Prophylaxis Among Black/African American Individuals in the United States: Cross-Sectional Survey |
10 |
| Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review |
10 |
| Effect of Mobile Phone Text Message Reminders on Routine Immunization Uptake in Pakistan: Randomized Controlled Trial |
10 |
| A Gamified Smartphone App to Support Engagement in Care and Medication Adherence for HIV-Positive Young Men Who Have Sex With Men (AllyQuest): Development and Pilot Study |
10 |
| Population Size Estimation of Gay and Bisexual Men and Other Men Who Have Sex With Men Using Social Media-Based Platforms |
9 |
| The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study |
9 |
| Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika: Probabilistic Study in the United States |
9 |
| #Healthy Selfies: Exploration of Health Topics on Instagram |
8 |
| Factors Associated With Willingness to Use Pre-Exposure Prophylaxis in Brazil, Mexico, and Peru: Web-Based Survey Among Men Who Have Sex With Men |
7 |
| Preliminary Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study |
7 |
| Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning |
7 |
| Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa |
7 |
| Awareness of Prevention Strategies and Willingness to Use Preexposure Prophylaxis in Brazilian Men Who Have Sex With Men Using Apps for Sexual Encounters: Online Cross-Sectional Study |
7 |
| Fraud Detection Protocol for Web-Based Research Among Men Who Have Sex With Men: Development and Descriptive Evaluation |
6 |
| Incidence of Lower Respiratory Tract Infections and Atopic Conditions in Boys and Young Male Adults: Royal College of General Practitioners Research and Surveillance Centre Annual Report 2015-2016 |
6 |
| Internet Exposure Associated With Canadian Parents' Perception of Risk on Childhood Immunization: Cross-Sectional Study |
6 |
| User-Driven Comments on a Facebook Advertisement Recruiting Canadian Parents in a Study on Immunization: Content Analysis |
6 |
| Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection |
6 |
| Informing HIV Prevention Programs for Adolescent Girls and Young Women: A Modified Approach to Programmatic Mapping and Key Population Size Estimation |
6 |
| Predicting Sexual Behaviors Among Homeless Young Adults: Ecological Momentary Assessment Study |
5 |
| Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic |
5 |
| Public Awareness of Uterine Power Morcellation Through US Food and Drug Administration Communications: Analysis of Google Trends Search Term Patterns |
5 |
| Quantification of HIV-1 RNA Among Men Who Have Sex With Men Using an At-Home Self-Collected Dried Blood Spot Specimen: Feasibility Study |
5 |
| An Online Support Group Intervention for Adolescents Living with HIV in Nigeria: A Pre-Post Test Study |
5 |
| The Annual American Men's Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: 2016 Key Indicators Report |
5 |
| Automated Real-Time Collection of Pathogen-Specific Diagnostic Data: Syndromic Infectious Disease Epidemiology |
5 |
| Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis |
5 |
| Generating Engagement on the Make Healthy Normal Campaign Facebook Page: Analysis of Facebook Analytics |
5 |
| Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era |
4 |
| Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study |
4 |
| Considering the Impact of Social Media on Contemporary Improvement of Australian Aboriginal Health: Scoping Review |
4 |
| Economic Recession and Obesity-Related Internet Search Behavior in Taiwan: Analysis of Google Trends Data |
4 |
| Monitoring Interest in Herpes Zoster Vaccination: Analysis of Google Search Data |
4 |
| Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis |
4 |
| Defining Care Patterns and Outcomes Among Persons Living with HIV in Washington, DC: Linkage of Clinical Cohort and Surveillance Data |
4 |
| The Acceptability and Feasibility of Implementing a Bio-Behavioral Enhanced Surveillance Tool for Sexually Transmitted Infections in England: Mixed-Methods Study |
4 |
| Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries |
4 |
| Google for Sexual Relationships: Mixed-Methods Study on Digital Flirting and Online Dating Among Adolescent Youth and Young Adults |
4 |
| Using Social Media to Generate and Collect Primary Data: The #ShowsWorkplaceCompassion Twitter Research Campaign |
3 |
| Predictors of Facebook User Engagement With Health-Related Content for Gay, Bisexual, and Other Men Who Have Sex With Men: Content Analysis |
3 |
| Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach |
3 |
| Exploring Australian Hajj Tour Operators' Knowledge and Practices Regarding Pilgrims' Health Risks: A Qualitative Study |
3 |
