TY - GEN AB - 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. AU - Treibert, Sarah Marie, CN - RA644.C67 DO - 10.1007/978-3-658-35932-4 DO - doi ID - 1441318 KW - COVID-19 Pandemic, 2020- KW - COVID-19 Pandemic, 2020- KW - Pandémie de COVID-19, 2020- KW - Pandémie de COVID-19, 2020- LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-35932-4 N2 - 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. SN - 9783658359324 SN - 3658359323 T1 - Mathematical modelling and nonstandard schemes for the Corona virus pandemic / TI - Mathematical modelling and nonstandard schemes for the Corona virus pandemic / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-35932-4 ER -