TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-19-0729-6
DO  - doi
AB  - 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.
T1  - Fractional stochastic differential equations :applications to Covid-19 modeling /
AU  - Atangana, Abdon,
AU  - İgret Araz, Seda,
CN  - QA274.23
ID  - 1446181
KW  - Stochastic differential equations.
KW  - Fractional differential equations.
KW  - COVID-19 (Disease)
KW  - Équations différentielles stochastiques.
KW  - Équations différentielles fractionnaires.
KW  - COVID-19
SN  - 9789811907296
SN  - 9811907293
TI  - Fractional stochastic differential equations :applications to Covid-19 modeling /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0729-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0729-6
ER  -