COVID-19 Dynamics in Africa Under the Influence of Asymptomatic Cases and Re-infection
Subject Areas : International Journal of Mathematical Modelling & Computations
Abayomi Oke
1
,
Oluwafemi Bada
2
,
Ganiyu Rasaq
3
,
Victoria Adodo
4
,
Belindar Juma
5
1 - Department of Mathematics and Actuarial Science,
2 - Department of Mathematics, University of Benin, Nigeria
3 - Department of Mathematical Sciences, Adekunle Ajasin University, Nigeria
4 - Department of Mathematical Sciences, Adekunle Ajasin University, Nigeria
5 - Department of Mathematical and Actuarial Science, Kenyatta University, Kenya.
Keywords: COVID-19, Reproduction Number, Coronavirus, re-infections, asymptomatic case detection,
Abstract :
Since December 2019 that the coronavirus pandemic (COVID-19) has hit the world, with over 13 million cases recorded, only a little above 4.67 percent of the cases have been recorded in the continent of Africa. The percentage of cases in Africa rose significantly from 2 percent in the month of May 2020 to above 4.67 percent by the end of July 15, 2020. This rapid increase in the percentage indicates a need to study the transmission, control strategy, and dynamics of COVID-19 in Africa. In this study, a nonlinear mathematical model to investigate the impact of asymptomatic cases on the transmission dynamics of COVID-19 in Africa is proposed. The model is analyzed, the reproduction number is obtained, the local and the global asymptotic stability of the equilibria were established. We investigate the existence of backward bifurcation and we present the numerical simulations to verify our theoretical results. The study shows that the reproduction number is a decreasing function of detection rate and as the rate of re-infection increases, both the asymptomatic and symptomatic cases rise significantly. The results also indicate that repeated and increase testing to detect people living with the disease will be very effective in containing and reducing the burden of COVID-19 in Africa.