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Mathematical modelling and nonstanda...
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Treibert, Sarah Marie.
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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 pandemic/ by Sarah Marie Treibert.
Author:
Treibert, Sarah Marie.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden : : 2021.,
Description:
xviii, 248 p. :ill., digital ;24 cm.
[NT 15003449]:
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'.
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
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
Standard No.: 10.1007/978-3-658-35932-4doiSubjects--Topical Terms:
3491780
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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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'.
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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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Mathematics and Statistics (SpringerNature-11649)
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EB RA644.C67 T74 2021
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