001446181 000__ 03496cam\a2200541Ii\4500
001446181 001__ 1446181
001446181 003__ OCoLC
001446181 005__ 20230310003943.0
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001446181 008__ 220426s2022\\\\si\a\\\\ob\\\\000\0\eng\d
001446181 020__ $$a9789811907296$$q(electronic bk.)
001446181 020__ $$a9811907293$$q(electronic bk.)
001446181 020__ $$z9789811907289$$q(print)
001446181 0247_ $$a10.1007/978-981-19-0729-6$$2doi
001446181 035__ $$aSP(OCoLC)1312664636
001446181 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ
001446181 049__ $$aISEA
001446181 050_4 $$aQA274.23
001446181 08204 $$a519.2/2$$223/eng/20220426
001446181 1001_ $$aAtangana, Abdon,$$eauthor.
001446181 24510 $$aFractional stochastic differential equations :$$bapplications to Covid-19 modeling /$$cAbdon Atangana, Seda İgret Araz.
001446181 264_1 $$aSingapore :$$bSpringer,$$c2022.
001446181 300__ $$a1 online resource (xv, 540 pages) :$$bcolor illustrations.
001446181 336__ $$atext$$btxt$$2rdacontent
001446181 337__ $$acomputer$$bc$$2rdamedia
001446181 338__ $$aonline resource$$bcr$$2rdacarrier
001446181 4901_ $$aIndustrial and applied mathematics,$$x2364-6845
001446181 504__ $$aIncludes bibliographical references.
001446181 5050_ $$aHistory on Covid-19 Spread -- Fractional Differential and Integral Operators -- Existence and Uniqueness for stochastic differential equations -- Numerical scheme for a general Stochastic equation with classical and fractional derivatives -- A simple SIR model of Covid-19 spread -- An application of SEIRD approach -- Modelling the transmission of Coronavirus with SEIR approach -- Modeling the spread of Covid-19 with a SIA IR IU approach: Inclusion of unreported infected class -- A comprehensive analysis of Covid-19 model -- Analysis of SEIARD model of Coronavirus transmission -- A mathematical model with Covid-19 reservoir -- A new model with asymptomatic and quarantined classes.
001446181 506__ $$aAccess limited to authorized users.
001446181 520__ $$aThis book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.
001446181 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 26, 2022).
001446181 650_0 $$aStochastic differential equations.
001446181 650_0 $$aFractional differential equations.
001446181 650_0 $$aCOVID-19 (Disease)$$xStatistical methods.
001446181 650_6 $$aÉquations différentielles stochastiques.
001446181 650_6 $$aÉquations différentielles fractionnaires.
001446181 650_6 $$aCOVID-19$$xMéthodes statistiques.
001446181 655_0 $$aElectronic books.
001446181 7001_ $$aİgret Araz, Seda,$$eauthor.
001446181 830_0 $$aIndustrial and applied mathematics,$$x2364-6845
001446181 852__ $$bebk
001446181 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0729-6$$zOnline Access$$91397441.1
001446181 909CO $$ooai:library.usi.edu:1446181$$pGLOBAL_SET
001446181 980__ $$aBIB
001446181 980__ $$aEBOOK
001446181 982__ $$aEbook
001446181 983__ $$aOnline
001446181 994__ $$a92$$bISE