Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model

Xiao-Ping Li, Mahmoud H DarAssi, Muhammad Altaf Khan, C W Chukwu, Mohammad Y Alshahrani, Mesfer Al Shahrani, Muhammad Bilal Riaz

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

We consider a new mathematical model for the COVID-19 disease with Omicron variant mutation. We formulate in details the modeling of the problem with omicron variant in classical differential equations. We use the definition of the Atangana-Baleanu derivative and obtain the extended fractional version of the omicron model. We study mathematical results for the fractional model and show the local asymptotical stability of the model for infection-free case if R 0 < 1 . We show the global asymptotically stable of the model for the disease free case when R 0 ≤ 1 . We show the existence and uniqueness of solution of the fractional model. We further extend the fractional order model into piecewise differential equation system and give a numerical algorithm for their numerical simulation. We consider the real cases of COVID-19 in South Africa of the third wave March 2021-Sep 2021 and estimate the model parameters and get R 0 ≈ 1 . 4004 . The real parameters values are used to show the graphical results for the fractional and piecewise model.

Original languageEnglish
Article number105652
Pages (from-to)105652
JournalResults in Physics
Volume38
DOIs
StatePublished - Jul 2022

Scopus Subject Areas

  • General Physics and Astronomy

Keywords

  • COVID-19
  • Fractional model
  • Numerical simulation
  • Omicron
  • Piecewise model

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