Overview

This book is designed to provide a comprehensive introduction to the field of health data and metrics. It is intended for learners who are new to the field and want to learn the basics of these type of metrics. The book is divided into 16 chapters plus an introduction, each of which covers a different aspect of health data science. The book covers a wide range of topics, including data visualization, data wrangling, machine learning, and more. Each chapter includes a mix of theoretical concepts and practical examples to help you understand the material.

• A guide to health metrics and infectious disease modeling
• Focuses on data-driven approaches, including machine learning and spatial analysis
• Provides step-by-step explanations of health metrics such as DALYs, YLLs, and YLDs
• Uses real-world case studies (e.g., COVID-19 and Malaria) to demonstrate applications