Bibliografische Daten
ISBN/EAN: 9783658359317
Sprache: Englisch
Umfang: xviii, 248 S., 63 s/w Illustr., 248 p. 63 illus.
Einband: kartoniertes Buch
Beschreibung
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.
Produktsicherheitsverordnung
Hersteller:
Springer Spektrum in Springer Science + Business Media
juergen.hartmann@springer.com
Tiergartenstr. 15-17
DE 69121 Heidelberg
Autorenportrait
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.