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Mathematical modelling and nonstandard schemes for the Corona virus pandemic

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical modelling and nonstandard schemes for the Corona virus pandemicby Sarah Marie Treibert.
Author:	Treibert, Sarah Marie.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2021.
Description:	xviii, 248 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	COVID-19 Pandemic, 2020-Mathematical models.
Online resource:	https://doi.org/10.1007/978-3-658-35932-4
ISBN:	9783658359324$q(electronic bk.)

Mathematical modelling and nonstandard schemes for the Corona virus pandemic
Treibert, Sarah Marie.

Mathematical modelling and nonstandard schemes for the Corona virus pandemic[electronic resource] /by Sarah Marie Treibert. - Wiesbaden :Springer Fachmedien Wiesbaden :2021. - xviii, 248 p. :ill., digital ;24 cm. - BestMasters,2625-3615. - BestMasters..

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'.

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 Universitat Wuppertal) Her focus is on Epidemic Modelling.

ISBN: 9783658359324$q(electronic bk.)

Standard No.: 10.1007/978-3-658-35932-4doiSubjects--Topical Terms:

895419
COVID-19 Pandemic, 2020-
--Mathematical models.

LC Class. No.: RA644.C67 / T74 2021

Dewey Class. No.: 362.1962414015118

Mathematical modelling and nonstandard schemes for the Corona virus pandemic
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245 1 0 $a Mathematical modelling and nonstandard schemes for the Corona virus pandemic $h [electronic resource] / $c by Sarah Marie Treibert.
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505 0 $a 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'.
520 $a 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 Universitat Wuppertal) Her focus is on Epidemic Modelling.
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