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Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic: BestMasters

Autor Sarah Marie Treibert
en Limba Engleză Paperback – 12 dec 2021
This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.
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Specificații

ISBN-13: 9783658359317
ISBN-10: 3658359315
Pagini: 248
Ilustrații: XVIII, 248 p. 63 illus.
Dimensiuni: 148 x 210 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Spektrum
Seria BestMasters

Locul publicării:Wiesbaden, Germany

Cuprins

Introduction.-  The Severe Acute Respiratory Syndrome Corona Virus Type 2.- The SIR Model in Epidemic Modelling.-  The SARS-CoV-2-fitted SEIR Model.- Model Specifications.- Parameter Estimation in MAT LAB.- Markov Chain Epidemic Models.- R´esum´.

Notă biografică

Sarah Marie Treibert is a research assistant at the Chair of Applied Mathematics / Numerical Analysis of the University of Wuppertal (Bergische Universität Wuppertal). Her focus is on Epidemic Modelling.


Textul de pe ultima copertă

This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.

About the author
Sarah Marie Treibert is a research assistant at the Chair of Applied Mathematics / Numerical Analysis of the University of Wuppertal (Bergische Universität Wuppertal). Her focus is on Epidemic Modelling.