Outbreak Detection Simulator

How This Works

• Traditional surveillance relies on manual reporting cycles (daily to weekly)
• AI-enhanced detection uses real-time syndromic surveillance, social signals, and environmental sensors
• Detection speed varies by disease type, data quality, and outbreak characteristics
• Earlier detection enables faster intervention, reducing total case burden

Note: This is a simplified model for demonstration purposes. Real-world performance depends on many additional factors including local data infrastructure, epidemiological context, and intervention capacity.