Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/228030 
Year of Publication: 
2020
Series/Report no.: 
AGDI Working Paper No. WP/20/053
Publisher: 
African Governance and Development Institute (AGDI), Yaoundé
Abstract: 
In this study, we examined various forms of mathematical models that are relevant for the containment, risk analysis and features of COVID-19. Greater emphasis was laid on the extension of the Susceptible-Infectious-Recovered (SIR) models for policy relevance in the time of COVID-19. These mathematical models play a significant role in the understanding of COVID-19 transmission mechanisms, structures and features. Considering that the disease has spread sporadically around the world, causing large scale socioeconomic disruption unwitnessed in contemporary ages since World War II, researchers, stakeholders, government and the society at large are actively engaged in finding ways to reduce the rate of infection until a cure or vaccination procedure is established. We advanced argument for the various forms of the mathematical models of epidemics and highlighted their relevance in the containment of COVID-19 at the present time. Mathematical models address the need for understanding the transmission dynamics and other significant factors of the disease that would aid policymakers to make accurate decisions and reduce the rate of transmission of the disease.
Subjects: 
Mathematical Models
SIR Models
COVID-19
COVID-19 confirmed cases
COVID-19 attributable deaths
Document Type: 
Working Paper

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