Estimation of Epidemiological Parameters for COVID-19 Cases in Burkina Faso Using African Vulture Optimization Algorithm (AVOA)

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DOI: https://doi.org/10.28924/2291-8639-22-2024-203
Published: Oct 31, 2024
Cite as:
Haoua Tinde, Adama Kiemtore, Wenddabo Olivier Sawadogo, Pengdewendé Ousséni Fabrice Ouedraogo, Ibrahim Zangré, Estimation of Epidemiological Parameters for COVID-19 Cases in Burkina Faso Using African Vulture Optimization Algorithm (AVOA), Int. J. Anal. Appl., 22 (2024), 203.

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Haoua Tinde, Adama Kiemtore, Wenddabo Olivier Sawadogo, Pengdewendé Ousséni Fabrice Ouedraogo, Ibrahim Zangré

Abstract

In this paper, we present a mathematical model that accounts for virus transmission through deceased individuals to simulate the dynamics of COVID-19 spread in Burkina Faso. The existence and uniqueness of the model’s solution have been proven. The basic reproduction number was calculated using the Jacobian determinant method. The stability of the disease-free and endemic equilibrium points was studied. To estimate the model parameters, we used African Vulture Optimization Algorithm (AVOA). We then used this algorithm to estimate the parameters of the developed model using daily reported COVID-19 cases in Burkina Faso from March 11 to April 20, 2020. The results obtained show that the proposed model is more realistic for simulating the spread of COVID-19 in Burkina Faso.

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