Computational Modeling of Infectious Disease: With Applications in Python

Computational Modeling of Infectious Disease: With Applications in Python is a comprehensive guide to analyzing infectious diseases using cutting-edge computational methods, with practical examples in Python. It is designed for researchers, practicing infectious disease forecasters, modelers, data scientists, and those interested in learning more about real-world analysis of infectious disease processes.

Format: Paperback / softback
Length: 476 pages
Publication date: 22 February 2023
Publisher: Elsevier Science & Technology

Computational Modeling of Infectious Disease: With Applications in Python is a comprehensive and visually rich guide that offers a diverse range of tools and strategies for analyzing infectious diseases through cutting-edge computational methodologies. This book serves as both a comprehensive tutorial for navigating the computational analysis of infectious diseases and a handy reference manual, covering a wide spectrum of topics from simple SEIR models to time series analysis and geospatial models. Each chapter is accompanied by extensive practical examples implemented in Python, showcasing the applications from start to finish.

Designed with researchers, practicing infectious disease forecasters, modelers, data scientists, and individuals interested in gaining deeper insights into the real-world analysis of infectious disease processes in mind, this book provides a valuable resource for advancing our understanding and response to infectious diseases.

By leveraging the power of computational modeling, this book empowers researchers to explore complex disease dynamics, predict outbreak patterns, and develop effective interventions. It equips practitioners with the skills and knowledge needed to analyze large datasets, apply statistical analysis, and build sophisticated models that can accurately capture the intricate nature of infectious diseases.

Furthermore, the book's applications in Python make it accessible to a wide range of readers, including those with limited programming experience. The clear and concise code examples and step-by-step instructions ensure that readers can easily follow along and apply the techniques learned to their own research or practical applications.

In summary, Computational Modeling of Infectious Disease: With Applications in Python is a indispensable resource for anyone seeking to advance their understanding of infectious diseases through computational analysis. With its comprehensive coverage, practical examples, and user-friendly approach, this book empowers researchers, practitioners, and enthusiasts alike to make meaningful contributions to the field of infectious disease research and prevention.

Weight: 736g
Dimension: 228 x 152 x 24 (mm)
ISBN-13: 9780323953894