Mathematical Analysis of the Dynamics of COVID-19 in Africa under the Influence of Asymptomatic Cases Andre-Infection
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Date
2021
Authors
Abayomi, Samuel Oke
Oluwafemi, Isaac Bada
Ganiyu, Rasaq
Adodo, Victoria
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Abstract
Coronavirus pandemic (COVID-19) hit the world in December 2019, and only less than 5% of the
15 million cases were recorded in Africa. A major call for concern was the significant rise from 2%
in May 2020 to 4.67% by the end of July 15, 2020. This drastic increase calls for quick intervention
in the transmission and control strategy of COVID-19 in Africa. A mathematical model to
theoretically investigate the consequence of ignoring asymptomatic cases on COVID-19 spread
in Africa is proposed in this study. A qualitative analysis of the model is carried out with and
without re-infection, and the reproduction number is obtained under re-infection. The results
indicate that increasing case detection to detect asymptomatically infected individuals will be
very effective in containing and reducing the burden of COVID-19 in Africa. In addition, the fact
that it has not been confirmed whether a recovered individual can be re-infected or not, then
enforcing a living condition where recovered individuals are not allowed to mix with the
susceptible or exposed individuals will help in containing the spread of COVID-19
Description
A research article published in Mathematical Methods in the Applied Sciences
Keywords
Asymptomatic, Case detection, Coronavirus, Reproduction number, Re-infections
Citation
Oke, A. S., Bada, O. I., Rasaq, G., & Adodo, V. Mathematical analysis of the dynamics of COVID‐19 in Africa under the influence of asymptomatic cases and re‐infection. Mathematical Methods in the Applied Sciences.