Structure of the Book

The book is divided into 16 chapters, each of which covers a different aspect of health metrics, infectious diseases, and modeling. The chapters are organized as follows:

1. Introduction to Health Metrics – Definitions, calculations, and comparisons
2. Machine Learning Applications – Models, predictive analytics, and feature engineering
3. Data Visualization and Spatial Modeling – Creating insightful visualizations using R
4. Case Studies on Infectious Diseases – Applying models to real-world outbreaks