Epidemics: Models and Data Using R (Use R!), 2nd Edition

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Description

Epidemics: Models and Data Using R (Use R!), 2nd Edition

By Ottar N. Bjørnstad
This book is designed to be a practical study in infectious disease dynamics. It offers an easy-to-follow implementation and analysis of mathematical epidemiology. It focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in consumer-resource metapopulations. Some infections are prevalent among the young, some among the old and some are age-invariant. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing.Models and ‘models-with-data’ have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease, dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data Using R have been organized as follows: chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; chapters 11-13 pertains to spatial and spatiotemporal dynamics; chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics.This book can be used as a guide for working with data, models and ‘models-and-data’ to understand epidemics and infectious disease dynamics in space and time. All the code and data sets are distributed in the epimdr2 R package to facilitate the hands-on philosophy of the text.

Book Review: Epidemics: Models and Data Using R

By Ottar N. Bjørnstad

Are you fascinated by the field of epidemiology? Do you want to understand how infectious diseases spread and how they can be controlled? If so, then Epidemics: Models and Data Using R is the book for you. Written by Ottar N. Bjørnstad, this book offers a practical study in infectious disease dynamics, presenting an easy-to-follow implementation and analysis of mathematical epidemiology.

The study of infectious diseases is complex and multifaceted. There are various conceptual, mathematical, and statistical issues involved in understanding the dynamics of infectious diseases. This book addresses these issues by focusing on recent case studies and exploring different patterns and dynamics exhibited by infectious diseases. From locally persistent chains-of-transmission to spatial consumer-resource metapopulations, this book covers it all.

What sets Epidemics: Models and Data Using R apart from other books on the subject is its emphasis on the use of mathematical models to understand and predict the diversity of infectious disease dynamics. Mathematical models have proved invaluable in the field of epidemiology, helping researchers improve intervention and control strategies. This book takes a hands-on approach by providing code and data sets in the epimdr2 R package, allowing readers to actively engage with the material and apply the concepts to real-world scenarios.

The book is divided into several chapters, each covering different aspects of infectious disease dynamics. Chapters 1-10 dive into local disease dynamics, exploring models, data, and statistics. Chapters 11-13 focus on spatial and spatiotemporal dynamics, while Chapter 14 draws parallels between the dynamics of infectious diseases and parasitoid-host dynamics. Finally, Chapters 15 and 16 provide an overview of additional statistical methodology useful in studying infectious disease dynamics.

Bjørnstad’s writing style is clear and concise, making complex concepts accessible even to readers without a strong background in mathematics or epidemiology. The book strikes a good balance between theoretical explanations and practical applications, allowing readers to grasp the underlying principles while also gaining practical skills in analyzing infectious disease data.

One of the standout features of this book is its focus on real-life case studies. By using real examples, Bjørnstad brings the concepts to life and demonstrates their relevance in the field of epidemiology. This approach helps readers connect theory with practice and enhances their understanding of the material.

Epidemics: Models and Data Using R also stands out for its comprehensive coverage of the subject. The book covers a wide range of infectious disease dynamics, including variations in prevalence, seasonal shifts, and irregular epidemics. By exploring different patterns and dynamics, readers gain a holistic understanding of infectious diseases and are better equipped to develop effective interventions and control strategies.

In conclusion, Epidemics: Models and Data Using R is a valuable resource for anyone interested in the field of epidemiology. Whether you are a researcher, a student, or a professional in the field, this book provides a comprehensive and practical guide to understanding infectious disease dynamics. By combining mathematical models, data analysis, and real-life case studies, Bjørnstad offers a unique approach that will help readers develop a deeper understanding of infectious diseases.

Order your copy of Epidemics: Models and Data Using R today and dive into the fascinating world of infectious disease dynamics. Discover the power of mathematical models in understanding and controlling epidemics. Equip yourself with the knowledge and skills needed to make a difference in the field of epidemiology. Don’t miss out on this valuable resource!