Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5975
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dc.contributor.authorMoore, Stephen E.-
dc.contributor.authorOkyere, Eric-
dc.date.accessioned2021-08-26T12:44:58Z-
dc.date.available2021-08-26T12:44:58Z-
dc.date.issued2020-
dc.identifier.issn23105496-
dc.identifier.urihttp://hdl.handle.net/123456789/5975-
dc.description13p:, ill.en_US
dc.description.abstractThe 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 spreaden_US
dc.language.isoenen_US
dc.publisherUniversity of Cape Coasten_US
dc.subjectCOVID-19en_US
dc.subjectDelay in diagnosisen_US
dc.subjectDynamic modelen_US
dc.subjectCompartmental modelsen_US
dc.subjectOptimal controlen_US
dc.subjectHamiltonianen_US
dc.titleControlling the transmission dynamics of COVID-19en_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics & Statistics

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