Titlebook: Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic; Sarah Marie Treibert Book 2021 The Editor(s) (if applicable)

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Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic

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Parameter Estimation in ,s, which underlie the transitions between compartments expressed by the introduced systems of ODEs, can be characterized as dynamical models since they refer to real world processes changing over time.

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Book 2021sponding 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..

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2625-3577 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..978-3-658-35931-7978-3-658-35932-4Series ISSN 2625-3577 Series E-ISSN 2625-3615

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Book 2021cKendrick 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 impl

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The Severe Acute Respiratory Syndrome Corona Virus Type 2,c. It serves as a basis of comprehending the impact that the pandemic has on the world population. With regard to infected individuals, issues especially relate to the symptoms and course of disease of COVID-19 as well as the risk of death.

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Parameter Estimation in ,rrently existing compartment size data in the form of time series forecasts, is explained. The presented SARS-CoV-2-fitted compartment model variations, which underlie the transitions between compartments expressed by the introduced systems of ODEs, can be characterized as dynamical models since the

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