This book investigates the mathematical modeling of epidemic spread and the statistical methods used to analyze such models. It aims to provide a comprehensive overview of stochastic epidemic models, which account for the inherent randomness in disease transmission, and to equip readers with the tools for their statistical analysis. The work draws upon probability theory, statistical inference, and computational methods to explore various aspects of epidemic dynamics.

The book is recognized as a foundational text in the field of mathematical epidemiology, offering a rigorous treatment of stochastic models and their statistical analysis. Its comprehensive approach makes it a valuable resource for researchers and advanced students in statistics, public health, and applied mathematics. The detailed mathematical derivations and practical examples are frequently cited in subsequent works on epidemic modeling. The text is considered essential for those seeking a deep understanding of the statistical underpinnings of disease spread.