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