Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic [[electronic resource] /] / by Sarah Marie Treibert

• Autore: Treibert Sarah Marie
• 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
• Serie: BestMasters, . 2625-3615