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Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan.
Shah, Kamal; Arfan, Muhammad; Mahariq, Ibrahim; Ahmadian, Ali; Salahshour, Soheil; Ferrara, Massimiliano.
  • Shah K; Department of Mathematics, University of Malakand, Dir(L) 18800, Pakistan.
  • Arfan M; Department of Mathematics, University of Malakand, Dir(L) 18800, Pakistan.
  • Mahariq I; College of Engineering and Technology, American University of the Middle East, Kuwait.
  • Ahmadian A; Department of Electrical and Electronics Engineering, University of Turkish Aeronautical Association, Ankara, Turkey.
  • Salahshour S; Institute of IR 4.0, The National University of Malaysia, 43600 UKM, Bangi, Selangor, Malaysia.
  • Ferrara M; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey.
Results Phys ; 19: 103560, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-919530
ABSTRACT
This work is the consideration of a fractal fractional mathematical model on the transmission and control of corona virus (COVID-19), in which the total population of an infected area is divided into susceptible, infected and recovered classes. We consider a fractal-fractional order SIR type model for investigation of Covid-19. To realize the transmission and control of corona virus in a much better way, first we study the stability of the corresponding deterministic model using next generation matrix along with basic reproduction number. After this, we study the qualitative analysis using "fixed point theory" approach. Next, we use fractional Adams-Bashforth approach for investigation of approximate solution to the considered model. At the end numerical simulation are been given by matlab to provide the validity of mathematical system having the arbitrary order and fractal dimension.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Results Phys Year: 2020 Document Type: Article Affiliation country: J.rinp.2020.103560

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Results Phys Year: 2020 Document Type: Article Affiliation country: J.rinp.2020.103560