Can I read COVID-19 Epidemiology and Virus Dynamics: Nonlinear Physics and Mathematical Modeling (Understanding Complex Systems) on EtoBox?

COVID-19 Epidemiology and Virus Dynamics: Nonlinear Physics and Mathematical Modeling (Understanding Complex Systems) by Till Daniel Frank is a nonfiction available to read on EtoBox.

What is COVID-19 Epidemiology and Virus Dynamics: Nonlinear Physics and Mathematical Modeling (Understanding Complex Systems) about?

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. Likewis

Who reads COVID-19 Epidemiology and Virus Dynamics: Nonlinear Physics and Mathematical Modeling (Understanding Complex Systems)?

Author

Till Daniel Frank

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783030971779

Category

nonfiction

Subjects

Science, Engineering, Medical