Articles published in this theme: 126 (scroll down to load remaining articles)
2026
Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study
JMIR AI 2026 (Mar 05); 5:e54956
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Correlation Between Prakriti (Body Constitution) and Severity of Structural Alterations in the Lungs of Patients With SARS-CoV-2: Protocol for a Retrospective Cross-Sectional Study
JMIR Res Protoc 2026 (Jan 08); 15:e63916
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2025
Bibliometric Insights Into the Infodemic: Global Research Trends and Policy Responses: Quantitative Research
JMIR Med Inform 2025 (Oct 14); 13:e76378
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Impact of Telemedicine on Health Expenditures During the COVID-19 Pandemic in Japan: Quasi-Experimental Study
J Med Internet Res 2025 (Sep 23); 27:e72051
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Authors’ Reply to: Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”
J Med Internet Res 2025 (Sep 11); 27:e82112
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Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”
J Med Internet Res 2025 (Sep 11); 27:e81251
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Remote Consultations in England During COVID-19: Challenges in Data Quality, Linkage, and Research Validity
Online J Public Health Inform 2025 (Aug 20); 17:e66672
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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients
J Med Internet Res 2025 (Jul 10); 27:e70674
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Income-Based Disparities in Perceived Benefits and Challenges of Virtual Global Health Activities During the COVID-19 Pandemic: Mixed Methods Analysis
J Med Internet Res 2025 (May 07); 27:e63066
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study
JMIR Form Res 2025 (Apr 11); 9:e66509
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The Impact of the Burden of COVID-19 Regulatory Reporting in a Small Independent Hospital and a Large Network Hospital: Comparative Mixed Methods Study
Online J Public Health Inform 2025 (Mar 26); 17:e63681
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COVID-19 Testing Equity in New York City During the First 2 Years of the Pandemic: Demographic Analysis of Free Testing Data
JMIR Public Health Surveill 2025 (Mar 13); 11:e52972
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Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis
J Med Internet Res 2025 (Mar 05); 27:e63755
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Building and Developing a Tool (PANDEM-2 Dashboard) to Strengthen Pandemic Management: Participatory Design Study
JMIR Public Health Surveill 2025 (Mar 05); 11:e52119
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Telemedicine Use During the COVID-19 Pandemic in 8 Countries From the International Sexual Health and Reproductive Health Consortium: Web-Based Cross-Sectional Survey Study
J Med Internet Res 2025 (Mar 04); 27:e60369
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A Call for Action: Lessons Learned From a Pilot to Share a Complex, Linked COVID-19 Cohort Dataset for Open Science
JMIR Public Health Surveill 2025 (Feb 11); 11:e63996
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Exploring the Impact of the COVID-19 Pandemic on Learning Experience, Mental Health, Adaptability, and Resilience Among Health Informatics Master’s Students: Focus Group Study
JMIR Med Educ 2025 (Feb 10); 11:e63708
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Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach
JMIR Infodemiology 2025 (Feb 10); 5:e53434
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies
J Med Internet Res 2025 (Jan 27); 27:e58656
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2024
The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project
J Med Internet Res 2024 (Nov 20); 26:e50235
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