Titlebook: Delay Differential Equations and Applications to Biology; Fathalla A. Rihan Book 2021 The Editor(s) (if applicable) and The Author(s), und

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Die Familie in den fünf neuen Bundesl?ndernis an increasing need to extend the deterministic models to models that embrace more complex variations in the dynamics. A way of modeling these elements is by including stochastic influences or noise. A natural extension of a deterministic differential equations model is a system of stochastic diff

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https://doi.org/10.1007/978-3-322-93664-6ns, has an important role in the epidemiological aspect of disease control [., .]. Mathematical modeling of infectious diseases has an important role in the epidemiological aspect of disease control [.]. Several epidemic models, with various characteristics, have been described and investigated in t

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Die Familienpolitik muss neue Wege gehen!this chapter, we use a stochastic epidemic SIRC model, with cross-immune class and time-delay in transmission terms, for the spread of COVID-19. We analyze the model and prove the existence and uniqueness of positive global solution. We deduce the basic reproduction number . for the stochastic model

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Numerical Solutions of Volterra Delay Integro-Differential Equationsge-Kutta method and collocation method for the integral part. In the following pages, the efficiency and stability properties of this technique are examined. Later, numerical results are presented to demonstrate the effectiveness of the methodology.

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Sensitivity Analysis of Delay Differential Equationsle parameters (e.g., control functions) .(.). It is often desirable to have information about the effect on the solution of the dynamic system of perturbing the initial data, control functions, time-lags, and other parameters appearing in the model.

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Delay Differential Equations and Applications to Biology978-981-16-0626-7Series ISSN 2364-6748 Series E-ISSN 2364-6756