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

Fractional Stochastic Differential Equations: Applications to Covid-19 Modeling /
Catalogue Information
Nome campo dettagli
Dewey Class 515.35
Titolo Fractional Stochastic Differential Equations ( EBook) : Applications to Covid-19 Modeling / / by Abdon Atangana, Seda İgret Araz.
Autore Atangana, Abdon
Added Personal Name İgret Araz, Seda
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2022.
Pubblicazione Singapore : : Springer Nature Singapore : : Imprint: Springer, , 2022.
Physical Details XV, 540 p. 162 illus. in color. : online resource.
Serie Industrial and Applied Mathematics 2364-6845
ISBN 9789811907296
Summary Note 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.:
Contents note 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.
Mode of acces to digital resource Digital reproduction.-
Cham :
Springer International Publishing,
2022. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-981-19-0729-6
Link alle Opere Legate
  • Riferimenti soggetto: .
  • Applications of Mathematics .
  • Calculus .
  • Differential Equations .
  • Mathematical Modeling and Industrial Mathematics .
  • Mathematical models .
  • Mathematics .
  • Numerical Analysis .
  • Operator Theory .
  • Stochastic Calculus .
  • Stochastic Processes .

  • Authors:
    Corporate Authors:
    Series:
    Classification:
    Catalogue Information 52945 Beginning of record . Catalogue Information 52945 Top of page .

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