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Mathematical model to assess the imposition of lockdown during COVID-19 pandemic.
Baba, Isa Abdullahi; Yusuf, Abdullahi; Nisar, Kottakkaran Sooppy; Abdel-Aty, Abdel-Haleem; Nofal, Taher A.
  • Baba IA; Department of Mathematical Sciences, Bayero University Kano, Kano, Nigeria.
  • Yusuf A; Department of Computer Engineering, Biruni University, Istanbul 34010, Turkey.
  • Nisar KS; Department of Mathematics, Federal University Dutse, Jigawa 7156, Nigeria.
  • Abdel-Aty AH; Department of Mathematics, College of Arts and Sciences, Wadi Aldawaser 11991, Prince Sattam bin Abdulaziz University, Saudi Arabia.
  • Nofal TA; Department of Physics, College of Sciences, University of Bisha, P.O. Box 344, Bisha 61922, Saudi Arabia.
Results Phys ; 20: 103716, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-989166
ABSTRACT
Nigeria, like most other countries in the world, imposes lockdown as a measure to curtail the spread of COVID-19. But, it is known fact that in some countries the lockdown strategy could bring the desired results while in some the situation could worsen the spread of the virus due to poor management and lack of facilities, palliatives and incentives. To this regard, we feel motivated to develop a new mathematical model that assesses the imposition of the lockdown in Nigeria. The model comprises of a system of five ODE. Mathematical analysis of the model were carried out, where boundedness, computation of equilibria, calculation of the basic reproduction ratio and stability analysis of the equilibria were carried out. We finally study the numerical outcomes of the governing model in respect of the approximate solutions. To this aim, we employed the effective ODE45, Euler, RK-2 and RK-4 schemes and compare the results.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Results Phys Year: 2021 Document Type: Article Affiliation country: J.rinp.2020.103716

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Results Phys Year: 2021 Document Type: Article Affiliation country: J.rinp.2020.103716