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

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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.

Epidemics: Models and Data Using R by Ottar N. Bjørnstad is a comprehensive guide that offers a practical study in infectious disease dynamics. With an easy-to-follow implementation and analysis of mathematical epidemiology, this book is designed to help readers gain a deeper understanding of the dynamics of infectious diseases.

As we navigate through the complexities of infectious diseases, it is crucial to have a clear understanding of their patterns and behaviors. Some diseases exhibit persistent chains of transmission, while others spread spatially in consumer-resource metapopulations. Infections can be prevalent among specific age groups or show age-invariant patterns. Temporally, disease prevalence can remain stable, show predictable seasonal variations, or even experience violent epidemics. Understanding these dynamics is key to developing effective intervention and control strategies.

The field of mathematical modeling has played a pivotal role in understanding and predicting the diversity of infectious disease dynamics, leading to significant advancements in epidemiology. By using mathematical models, researchers have been able to analyze and interpret complex data, facilitating the improvement of intervention and control measures.

Epidemics: Models and Data Using R covers a wide range of topics to ensure readers gain a comprehensive understanding of infectious disease dynamics. The book is divided into several chapters that explore different aspects of disease modeling, data analysis, and statistical methodologies. The first ten chapters delve into local disease dynamics, combining models, data, and statistics. Chapters 11 to 13 focus on spatial and spatiotemporal dynamics, examining the impact of geographical factors on disease transmission. Chapter 14 draws parallels between the dynamics of infectious diseases and parasitoid-host dynamics, shedding light on similarities and differences. Lastly, chapters 15 and 16 provide an overview of additional statistical methodologies that can be applied to the study of infectious disease dynamics.

One of the key features of this book is its hands-on approach. It provides readers with practical tools and resources to work with real-life data sets, models, and “models-with-data” scenarios. The code and data sets are conveniently packaged in the epimdr2 R package, enabling readers to actively engage with the material and apply their knowledge in a practical manner.

Epidemics: Models and Data Using R is an essential resource for researchers, epidemiologists, and anyone interested in understanding the dynamics of infectious diseases. Whether you are new to the field or an experienced professional, this book offers valuable insights and practical guidance. It equips readers with the necessary tools to analyze data, develop models, and gain a deeper understanding of epidemics and infectious disease dynamics in both space and time.

With its comprehensive coverage and practical approach, this book is an indispensable resource for anyone seeking to make a meaningful impact in the field of epidemiology. The author, Ottar N. Bjørnstad, is a renowned expert in the field of infectious disease dynamics and brings a wealth of knowledge and expertise to this work.

Order your copy of Epidemics: Models and Data Using R today and embark on a journey to unlock the secrets of infectious disease dynamics. With this book as your guide, you will gain the skills and knowledge needed to contribute to the understanding and control of epidemics, ultimately making a positive impact on public health.