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  3. Kybernetik og systemteori

COVID-19 Epidemiology and Virus Dynamics

- Nonlinear Physics and Mathematical Modeling
Af: Till D. Frank Engelsk Paperback

COVID-19 Epidemiology and Virus Dynamics

- Nonlinear Physics and Mathematical Modeling
Af: Till D. Frank Engelsk Paperback
Tjek vores konkurrenters priser

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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 355
ISBN-13: 9783030971809
Indbinding: Paperback
Udgave:
ISBN-10: 3030971805
Kategori: Kybernetik og systemteori
Udg. Dato: 1 apr 2023
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 1 apr 2023
Forfatter(e): Till D. Frank
Forfatter(e) Till D. Frank

Kategori Kybernetik og systemteori

ISBN-13 9783030971809

Sprog Engelsk

Indbinding Paperback

Sider 355

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 1 apr 2023

Oplagsdato 1 apr 2023

Forlag Springer Nature Switzerland AG

Kategori sammenhænge