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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Wuppertal, Germany
Sarah Marie Treibert
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.
Bibliographic Information
Book Title: Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic
Authors: Sarah Marie Treibert
Series Title: BestMasters
DOI: https://doi.org/10.1007/978-3-658-35932-4
Publisher: Springer Spektrum Wiesbaden
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021
Softcover ISBN: 978-3-658-35931-7Published: 12 December 2021
eBook ISBN: 978-3-658-35932-4Published: 11 December 2021
Series ISSN: 2625-3577
Series E-ISSN: 2625-3615
Edition Number: 1
Number of Pages: XVIII, 248
Number of Illustrations: 63 b/w illustrations
Topics: Applications of Mathematics