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Autore: | Treibert Sarah Marie |
Titolo: | Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic [[electronic resource] /] / by Sarah Marie Treibert |
Pubblicazione: | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2021 |
Edizione: | 1st ed. 2021. |
Descrizione fisica: | 1 online resource (260 pages) |
Disciplina: | 362.1962414015118 |
Soggetto topico: | Mathematics |
Applications of Mathematics | |
Pandèmia de COVID-19, 2020- | |
Models matemàtics | |
Previsió | |
Soggetto genere / forma: | Llibres electrònics |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | Introduction -- The Severe Acute Respiratory Syndrome Corona Virus Type 2 -- The SIR Model in Epidemic Modelling -- The SARS-CoV-2-fitted SEIR Model -- Model Specifications -- Parameter Estimation in MAT LAB -- Markov Chain Epidemic Models -- R´esum´. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic |
ISBN: | 9783658359324 |
9783658359317 | |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996466555503316 |
Lo trovi qui: | Univ. di Salerno |
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