Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic
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 corres...
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| Format: | eBook |
| Language: | English |
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Wiesbaden
Springer Fachmedien Wiesbaden
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | BestMasters
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | XVIII, 248 p. 63 illus online resource |
| ISBN: | 9783658359324 |