Epidemics: Models and Data Using R

This book provides a practical study of infectious disease dynamics with an easy-to-follow implementation and analysis of mathematical epidemiology, focusing on recent case studies to explore various conceptual, mathematical, and statistical issues. It uses mathematical models to understand disease dynamics and has a rich history in epidemiology, with chapters organized as a mix of models, data, and statistics.

Format: Paperback / softback
Length: 387 pages
Publication date: 14 December 2022
Publisher: Springer International Publishing AG

This comprehensive book serves as a practical guide to studying infectious disease dynamics. It offers a user-friendly approach to implementing and analyzing mathematical epidemiology, with a focus on recent case studies to explore various conceptual, mathematical, and statistical issues. Infectious disease dynamics exhibit a remarkable diversity of patterns, ranging from locally persistent chains of transmission to spatially distributed consumer-resource metapopulations. Certain infections are more prevalent among specific age groups, while others are age-invariant. The temporal dynamics of infectious diseases also vary widely, with some exhibiting minimal prevalence fluctuations, others displaying predictable seasonal shifts, and others experiencing violent epidemics with irregular timing.

Mathematical models and "models-with-data" have proven invaluable in understanding and predicting this diverse range of infectious disease dynamics. These models have helped improve intervention and control strategies by providing insights into the factors contributing to disease outbreaks.

The field of epidemiology has a rich history of using mathematical models to understand infectious disease dynamics. Over the years, theories have expanded, and mathematics has been increasingly applied to the dynamics and control of infectious diseases in real-life scenarios. The chapters of Epidemics: Models and Data Using R are organized in a way that caters to different aspects of infectious disease dynamics. Chapters 1 to 10 cover a mix of models, data, and statistics related to local disease dynamics, while Chapters 11 to 13 delve into spatial and spatiotemporal dynamics. Chapter 14 highlights the similarities between the dynamics of infectious diseases and parasitoid-host dynamics, and Chapters 15 and 16 provide an overview of additional statistical methodologies useful in studies of infectious disease dynamics.

This book serves as a valuable resource for individuals interested in working with data, models, and "models-and-data" to understand epidemics and infectious disease dynamics in space and time. It provides a comprehensive framework for analyzing and interpreting data, and offers practical insights into the development and application of mathematical models in epidemiology. Whether you are a researcher, healthcare professional, or student, this book will help you gain a deeper understanding of the complex dynamics of infectious diseases and contribute to the development of effective strategies for disease prevention and control.

Weight: 612g
Dimension: 233 x 154 x 26 (mm)
ISBN-13: 9783031120558
Edition number: 2nd ed. 2023