AI for Disease Modeling

A technical guide to using artificial intelligence for modeling the spread and impact of diseases. Covers the foundations of disease modeling, machine learning fundamentals relevant to epidemiology, data sources and preparation for disease surveillance, and advanced AI techniques for predicting outbreak patterns.

Accurate disease models save lives by informing public health decisions before crises escalate. This book bridges epidemiology and AI, providing the methods needed to build models that can predict transmission dynamics, evaluate interventions, and guide resource allocation.