AI-Driven Epidemiology Models Control Outbreaks: Intelligent Systems Forecast Disease Hotspots Through Multi-Modal Data Integration
The COVID-19 pandemic exposed critical vulnerabilities in traditional infectious disease surveillance systems—late detection, reactive responses, and inefficient resource allocation that cost millions of lives. A revolutionary convergence of artificial intelligence and epidemiology is now transforming public health from reactive crisis management to proactive outbreak prevention. Advanced AI systems integrate environmental data, viral genomics, human mobility…