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  • Fractional Stochastic Differential Equations: Applications to Covid-19 Modeling

    Fractional Stochastic Differential Equations by Atangana, Abdon; İgret Araz, Seda;

    Applications to Covid-19 Modeling

    Series: Industrial and Applied Mathematics;

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      • Publisher's listprice EUR 160.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        67 742 Ft (64 516 Ft + 5% VAT)
      • Discount 12% (cc. 8 129 Ft off)
      • Discounted price 59 613 Ft (56 774 Ft + 5% VAT)

    67 742 Ft

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    printed on demand

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    Product details:

    • Edition number 1st ed. 2022
    • Publisher Springer Nature Singapore
    • Date of Publication 23 April 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811907289
    • Binding Hardback
    • No. of pages540 pages
    • Size 235x155 mm
    • Weight 992 g
    • Language English
    • Illustrations XV, 540 p. 162 illus. in color. Illustrations, color
    • 264

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    Long description:

    This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.

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    Table of Contents:

    History on Covid-19 Spread.- Fractional Differential and Integral Operators.- Existence and Uniqueness for stochastic differential equations.- Numerical scheme for a general Stochastic equation with classical and fractional derivatives.- A simple SIR model of Covid-19 spread.- An application of SEIRD approach.- Modelling the transmission of Coronavirus with SEIR approach.- Modeling the spread of Covid-19 with a SIA IR IU approach: Inclusion of unreported infected class.- A comprehensive analysis of Covid-19 model.- Analysis of SEIARD model of Coronavirus transmission.- A mathematical model with Covid-19 reservoir.- A new model with asymptomatic and quarantined classes.

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