COVID-19 Epidemiology and Virus Dynamics: Nonlinear Physics and Mathematical Modeling

This book uses mathematical models and methods from nonlinear physics to study COVID-19 epidemics and SARS-CoV-2 infections, aiming to provide insights into the mechanisms behind past outbreaks and support a physics perspective on immune reactions to virus infections.

Format: Hardback
Length: 355 pages
Publication date: 31 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of the COVID-19 pandemic, employing a quantitative approach rooted in mathematical models and methods commonly employed in nonlinear physics. Its primary objective is to explore COVID-19 epidemics on a global scale and SARS-CoV-2 infections within individuals through the lens of nonlinear physics, aiming to model both COVID-19 data observed in various countries and virus load data observed in COVID-19 patients explicitly.

The book commences by offering a concise technical introduction to amplitude spaces, encompassing concepts such as eigenvalues, eigenvectors, and amplitudes. This foundational knowledge sets the stage for subsequent chapters, where mathematical models of epidemiology are introduced. These models, including the well-known SIR (Susceptible, Infected, Recovered) and SEIR (Susceptible, Exposed, Infected, Recovered) models, are applied to describe COVID-19 epidemics across a wide range of countries worldwide.

In the third and final part of the book, the focus shifts to virus dynamics models, which are employed to understand the intricate processes involved in infections within COVID-19 patients. By examining these models, the book identifies the key mechanisms that have contributed to past COVID-19 outbreaks and provides valuable insights into preventing future outbreaks. Moreover, this book underscores the physics underlying SARS-CoV-2 infections, offering a physics-based perspective to address human immune reactions and similar virus infections.

Designed with researchers, modellers, graduate students, and professionals in physics, medicine, epidemiology, virology, biology, applied mathematics, and computer sciences in mind, this book serves as a valuable resource for understanding the complex dynamics of the COVID-19 pandemic. By unraveling the underlying mechanisms and applying mathematical models, it contributes to our collective efforts in combating the pandemic and promoting public health.

Weight: 714g
Dimension: 163 x 240 x 27 (mm)
ISBN-13: 9783030971779
Edition number: 1st ed. 2022