Modeling and analysis on the transmission of covid-19 Pandemic in Ethiopia

Haile Habenom, Mulualem Aychluh, D. L. Suthar, Qasem Al-Mdallal, S. D. Purohit

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


The newest infection is a novel coronavirus named COVID-19, that initially appeared in December 2019, in Wuhan, China, and is still challenging to control. The main focus of this paper is to investigate a novel fractional-order mathematical model that explains the behavior of COVID-19 in Ethiopia. Within the proposed model, the entire population is divided into nine groups, each with its own set of parameters and initial values. A nonlinear system of fractional differential equations for the model is represented using Caputo fractional derivative. Legendre spectral collocation method is used to convert this system into an algebraic system of equations. An inexact Newton iterative method is used to solve the model system. The effective reproduction number (R0) is computed by the next-generation matrix approach. Positivity and boundedness, as well as the existence and uniqueness of solution, are all investigated. Both endemic and disease-free equilibrium points, as well as their stability, are carefully studied. We calculated the parameters and starting conditions (ICs) provided for our model using data from the Ethiopian Public Health Institute (EPHI) and the Ethiopian Ministry of Health from 22 June 2020 to 28 February 2021. The model parameters are determined using least squares curve fitting and MATLAB R2020a is used to run numerical results. The basic reproduction number is R0=1.4575. For this value, disease free equilibrium point is asymptotically unstable and endemic equilibrium point is asymptotically stable, both locally and globally.

Original languageEnglish
Pages (from-to)5323-5342
Number of pages20
JournalAlexandria Engineering Journal
Issue number7
Publication statusPublished - Jul 2022


  • Basic reproduction number
  • COVID-19
  • Caputo fractional derivative
  • Fractional modeling
  • Legendre polynomials
  • Legendre spectral collocation method
  • Stability analysis

ASJC Scopus subject areas

  • General Engineering


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