Clinical Scorecard: Mapping the Trends and Challenges of Digital Epidemiology and Public Health Surveillance: A Scientometric Analysis of Emerging Technologies (2000–2025)
At a Glance
Category
Detail
Condition
Key Mechanisms
Integration of artificial intelligence, big data, social media mining, and IoT for health monitoring
Target Population
Global population with a focus on regions with varying technological infrastructures
Care Setting
Key Highlights
Exponential growth in scientific output since 2010, particularly during the COVID-19 pandemic
Primary centers of production include the United States, United Kingdom, and China
Significant gaps in digital equity, interoperability, and ethical governance
Guideline-Based Recommendations
Diagnosis
Utilize digital tools for outbreak detection
Management
Incorporate technologies in public health responses
Monitoring & Follow-up
Implement monitoring systems using AI and big data
Risks
Address vulnerabilities related to privacy and data reliability
Patient & Prescribing Data
Individuals affected by health threats monitored through digital epidemiology
Focus on leveraging digital tools for timely health interventions
Clinical Best Practices
Adopt a mixed-methods approach for analysis of digital epidemiology
Ensure ethical governance in the use of digital health technologies
