COVID-19 Epidemiology and Virus Dynamics
Springer International Publishing (Verlag)
978-3-030-97177-9 (ISBN)
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.
lt;b>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 PhD in Human Movement Sciences from the Vrije Universiteit Amsterdam in 2001, and his Habilitation in Physics from the University of Münster in 2006. Till D. Frank is currently an Associate Professor at the University of Connecticut affiliated with both the Department of Psychological Sciences and the Department of Physics.
Chapter 1. Introduction.- Chapter 2. Nonlinear physics and synergetics.- Chapter 3. Epidemiological models and COVID-19 epidemics.- Chapter 4. Nonlinear physics of epidemics: part A.- Chapter 5. Nonlinear physics of epidemics: part B.- Chapter 6. Nonlinear physics of epidemics: part C.- Chapter 7. Model-based reproduction numbers.- Chapter 8. Modeling interventions.- Chapter 9. Models of virus dynamics.- Chapter 10. Virus dynamics in humans: unstable directions and order parameters.
| Erscheinungsdatum | 01.04.2022 |
|---|---|
| Reihe/Serie | Understanding Complex Systems |
| Zusatzinfo | XIV, 355 p. 91 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 715 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
| Schlagworte | Beyond COVID-19 • Bifurcation Theory • Mathematical principles of immunology and virology • Prevention of COVID-19 virus transmission • SEIR model (Susceptible-Exposed-Infective-Recovered) • Self-organization in contagious diseases • transmission dynamics |
| ISBN-10 | 3-030-97177-5 / 3030971775 |
| ISBN-13 | 978-3-030-97177-9 / 9783030971779 |
| Zustand | Neuware |
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