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Table of contents (8 chapters)
Keywords
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
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