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Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model.
Li, Xiao-Ping; DarAssi, Mahmoud H; Khan, Muhammad Altaf; Chukwu, C W; Alshahrani, Mohammad Y; Shahrani, Mesfer Al; Riaz, Muhammad Bilal.
  • Li XP; School of Mathematics and Information Science, Xiangnan University, Chenzhou, 423000, Hunan, PR China.
  • DarAssi MH; Department of Basic Sciences, Princess Sumaya University for Technology, Amman 11941, Jordan.
  • Khan MA; Institute for Ground Water Studies, Faculty of Natural and Agricultural Sciences, University of the Free State, South Africa.
  • Chukwu CW; Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.
  • Alshahrani MY; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
  • Shahrani MA; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
  • Riaz MB; Department of Automation, Biomechanics and Mechatronics, Lodz University of Technology, 1/15 Stefanowskiego St., 90-924 Lodz, Poland.
Results Phys ; 38: 105652, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1867747
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Variants Language: English Journal: Results Phys Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Variants Language: English Journal: Results Phys Year: 2022 Document Type: Article