Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5975
Title: Controlling the transmission dynamics of COVID-19
Authors: Moore, Stephen E.
Okyere, Eric
Keywords: COVID-19
Delay in diagnosis
Dynamic model
Compartmental models
Optimal control
Hamiltonian
Issue Date: 2020
Publisher: University of Cape Coast
Abstract: The outbreak of COVID-19 caused by SARS-CoV-2 in Wuhan and other cities in China in 2019 has become a global pandemic as declared by World Health Organization (WHO) in the frst quarter of 2020 [19]. The delay in diagnosis, limited hospital resources and other treatment resources leads to rapid spread of COVID-19. In this article, we consider an optimal control COVID-19 transmission model and assess the impact of some control measures that can lead to the reduction of exposed and infectious individuals in the population. We investigate three control strategies for this deadly infectious disease using personal protection, treatment with early diagnosis, treatment with delay diagnosis and spraying of virus in the environment as time-dependent control functions in our dynamical model to curb the disease spread
Description: 13p:, ill.
URI: http://hdl.handle.net/123456789/5975
ISSN: 23105496
Appears in Collections:Department of Mathematics & Statistics

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