JMIR Public Health and Surveillance

Papers
(The H4-Index of JMIR Public Health and Surveillance is 52. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Global Telemedicine Implementation and Integration Within Health Systems to Fight the COVID-19 Pandemic: A Call to Action685
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set398
Misinformation of COVID-19 on the Internet: Infodemiology Study359
Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends304
Knowledge and Perceptions of COVID-19 Among Health Care Workers: Cross-Sectional Study286
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study274
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study257
Dentists’ Awareness, Perception, and Attitude Regarding COVID-19 and Infection Control: Cross-Sectional Study Among Jordanian Dentists233
Considerations for Postacute Rehabilitation for Survivors of COVID-19224
Knowledge and Behaviors Toward COVID-19 Among US Residents During the Early Days of the Pandemic: Cross-Sectional Online Questionnaire221
Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study216
Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach205
COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study198
Population-Level Interest and Telehealth Capacity of US Hospitals in Response to COVID-19: Cross-Sectional Analysis of Google Search and National Hospital Survey Data178
Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey162
Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model158
Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study154
Regulation and Trust: 3-Month Follow-up Study on COVID-19 Mortality in 25 European Countries154
Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study153
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies151
Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study135
Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health130
Tracking COVID-19 in Europe: Infodemiology Approach118
Belief in a COVID-19 Conspiracy Theory as a Predictor of Mental Health and Well-Being of Health Care Workers in Ecuador: Cross-Sectional Survey Study110
Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study109
Turning the Crisis Into an Opportunity: Digital Health Strategies Deployed During the COVID-19 Outbreak108
Digital or Digitally Delivered Responses to Domestic and Intimate Partner Violence During COVID-1999
The Three Steps Needed to End the COVID-19 Pandemic: Bold Public Health Leadership, Rapid Innovations, and Courageous Political Will97
Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study92
Interpreting COVID-19 and Virtual Care Trends: Cohort Study89
Preventive Behaviors Conveyed on YouTube to Mitigate Transmission of COVID-19: Cross-Sectional Study84
COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey81
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis79
Primary Health Care Facility Preparedness for Outpatient Service Provision During the COVID-19 Pandemic in India: Cross-Sectional Study78
Novel Coronavirus in Cape Town Informal Settlements: Feasibility of Using Informal Dwelling Outlines to Identify High Risk Areas for COVID-19 Transmission From A Social Distancing Perspective75
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram73
Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis70
Telehealth as a Bright Spot of the COVID-19 Pandemic: Recommendations From the Virtual Frontlines ("Frontweb")68
Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation67
No Place Like Home: Cross-National Data Analysis of the Efficacy of Social Distancing During the COVID-19 Pandemic65
Concerns and Misconceptions About the Australian Government’s COVIDSafe App: Cross-Sectional Survey Study62
A Case for Participatory Disease Surveillance of the COVID-19 Pandemic in India61
Detection of SARS-CoV-2 RNA and Antibodies in Diverse Samples: Protocol to Validate the Sufficiency of Provider-Observed, Home-Collected Blood, Saliva, and Oropharyngeal Samples61
Mathematical Modelling to Assess the Impact of Lockdown on COVID-19 Transmission in India: Model Development and Validation61
Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England60
Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study60
Emergency Response to COVID-19 in Canada: Platform Development and Implementation for eHealth in Crisis Management57
Self-Reported Symptoms of SARS-CoV-2 Infection in a Nonhospitalized Population in Italy: Cross-Sectional Study of the EPICOVID19 Web-Based Survey56
Perspective of Medical Students on the COVID-19 Pandemic: Survey of Nine Medical Schools in Uganda55
Promoting Mask Use on TikTok: Descriptive, Cross-sectional Study54
The Impact of the COVID-19 Pandemic on the Uptake of Influenza Vaccine: UK-Wide Observational Study53
COVID-19 Crisis in Jordan: Response, Scenarios, Strategies, and Recommendations52
COVID-19 in India: Statewise Analysis and Prediction52
0.055626153945923