Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic / BestMasters (PDF)
(Sprache: Englisch)
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...
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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 Universität Wuppertal). Her focus is on Epidemic Modelling.
Autoren-Porträt von Sarah Marie Treibert
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.
Bibliographische Angaben
- Autor: Sarah Marie Treibert
- 2021, 1st ed. 2021, 248 Seiten, Englisch
- Verlag: Springer Fachmedien Wiesbaden
- ISBN-10: 3658359323
- ISBN-13: 9783658359324
- Erscheinungsdatum: 11.12.2021
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- Grösse: 3.39 MB
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Sprache:
Englisch
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