Overview
- Investigates mathematical techniques for the modeling and simulation of viral pandemics
- Offers an interdisciplinary approach to study the social and economic impacts of the COVID-19 pandemic
- Presents a multiscale framework at the level of both individuals and virus particles
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (10 chapters)
Keywords
About this book
Editors and Affiliations
About the editors
Mark A. J. Chaplain holds The Gregory Chair of Applied Mathematics at the University of St Andrews. He started his research activities during his PhD developing various reaction-diffusion-type partial differential equation models for the growth of avascular solid tumours. Since then modelling cancer growth and treatment has remained his main research interest. Much of his more recent research focus has been on developing novel multiscale models of cancer growth, by incorporating effects at different spatial and temporal scales into a single model (e.g. intracellular, cellular and tissues scales). He is one of the co-Chief Editors of the “Journal of Theoretical Biology” (with Denise Kirschner and Akira Sasaki) and is the Mathematics Section Editor for the “Royal Society Open Science” journal.
Bibliographic Information
Book Title: Predicting Pandemics in a Globally Connected World, Volume 1
Book Subtitle: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation
Editors: Nicola Bellomo, Mark A. J. Chaplain
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-3-030-96562-4
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96561-7Published: 23 September 2022
Softcover ISBN: 978-3-030-96564-8Published: 24 September 2023
eBook ISBN: 978-3-030-96562-4Published: 22 September 2022
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: VIII, 306
Number of Illustrations: 24 b/w illustrations, 87 illustrations in colour
Topics: Mathematical and Computational Biology, Mathematical Modeling and Industrial Mathematics