Fractional stochastic differential equations : applications to Covid-19 modeling / Abdon Atangana, Seda İgret Araz.
Atangana, Abdon, author.; İgret Araz, Seda, author.
2022
QA274.23
Available Online

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Title Fractional stochastic differential equations : applications to Covid-19 modeling / Abdon Atangana, Seda İgret Araz.
Author Atangana, Abdon, author.
ISBN 9789811907296 (electronic bk.)
9811907293 (electronic bk.)
9789811907289 (print)
DOI https://doi.org/10.1007/978-981-19-0729-6
Published Singapore : Springer, 2022.
Language English
Description 1 online resource (xv, 540 pages) : color illustrations.
Other Standard Identifiers 10.1007/978-981-19-0729-6 doi
Call Number QA274.23
Dewey Decimal Classification 519.2/2
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 26, 2022).
Added Author İgret Araz, Seda, author.
Series Industrial and applied mathematics, 2364-6845
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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