Overview
- Analyzes quantitatively COVID-19 outbreaks in various countries around the globe
- Makes use of mathematical models of epidemiology such as the SIR and SEIR models
- Discusses the impacts of measures implemented to stop the spread of COVID-19 disease
Part of the book series: Understanding Complex Systems (UCS)
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About this book
This book addresses the COVID-19 pandemic from a quantitative perspective based on mathematical models and methods largely used in nonlinear physics. It aims to study COVID-19 epidemics in countries and SARS-CoV-2 infections in individuals from the nonlinear physics perspective and to model explicitly COVID-19 data observed in countries and virus load data observed in COVID-19 patients.
The first part of this book provides a short technical introduction into amplitude spaces given by eigenvalues, eigenvectors, and amplitudes.In the second part of the book, mathematical models of epidemiology are introduced such as the SIR and SEIR models and applied to describe COVID-19 epidemics in various countries around the world. In the third part of the book, virus dynamics models are considered and applied to infections in COVID-19 patients.
This book is written for researchers, modellers, and graduate students in physics and medicine, epidemiology and virology, biology, applied mathematics, and computer sciences. This book identifies the relevant mechanisms behind past COVID-19 outbreaks and in doing so can help efforts to stop future COVID-19 outbreaks and other epidemic outbreaks. Likewise, this book points out the physics underlying SARS-CoV-2 infections in patients and in doing so supports a physics perspective to address human immune reactions to SARS-CoV-2 infections and similar virus infections.
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Till D. Frank received his diploma in physics from the University of Stuttgart in 1996 under the supervision of Prof. Hermann Haken. He obtained his Ph.D. in Human Movement Sciences from the Vrije Universiteit Amsterdam in 2001, and his Habilitation in Physics from the University of Münster in 2006. He is currently Associate Professor at the University of Connecticut affiliated with both the Department of Psychological Sciences and the Department of Physics.
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Bibliographic Information
Book Title: COVID-19 Epidemiology and Virus Dynamics
Book Subtitle: Nonlinear Physics and Mathematical Modeling
Authors: Till D. Frank
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-030-97178-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97177-9Published: 31 March 2022
Softcover ISBN: 978-3-030-97180-9Published: 01 April 2023
eBook ISBN: 978-3-030-97178-6Published: 30 March 2022
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XIV, 355
Number of Illustrations: 91 b/w illustrations
Topics: Complex Systems, Epidemiology, Mathematical Methods in Physics, Complexity, Public Health