Mathematical modelling of the transmission dynamics of Marburg virus disease with optimal control and cost-effectiveness analysis based on lessons from Ebola virus disease

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dc.contributor.authorReindorf, Nartey Borkor
dc.contributor.authorAmoah-Mensah, John
dc.contributor.authorOpoku, Nicholas Kwasi-Do Ohene
dc.contributor.authorBoateng, Francis Ohene
dc.contributor.authorBonsu, Kwame
dc.contributor.authorAfosaa, Vida
dc.contributor.authorAfutu, Rhoda
dc.contributor.orcid0000-0002-5721-4638
dc.date.accessioned2025-01-14T10:08:08Z
dc.date.available2025-01-14T10:08:08Z
dc.date.issued2024
dc.descriptionThis article is published by Springer 2024 and is also available at https://doi.org/10.1186/s13662-024-03833-4
dc.description.abstractMarburg virus, like Ebola, causes haemorrhagic disease with high fatality rates. We developed a deterministic SEIRDVT model incorporating vaccination and treatment to study the disease dynamics. Qualitative analysis revealed a backward bifurcation when R0 = 1, meaning R0 < 1 is insufficient to eradicate the virus. Sensitivity analysis using Latin Hypercube Sampling showed that applying four control measures—screening, prevention, continuous vaccination, and treatment—significantly reduced transmission. The most cost-effective strategy combines prevention, vaccination, and treatment. These findings provide a framework for designing efficient interventions to combat Marburg virus.
dc.description.sponsorshipKNUST
dc.identifier.citationAmoah-Mensah et al. Advances in Continuous and DiscreteModels
dc.identifier.urihttps://doi.org/10.1186/s13662-024-03833-4
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/16072
dc.language.isoen
dc.publisherSpringer
dc.titleMathematical modelling of the transmission dynamics of Marburg virus disease with optimal control and cost-effectiveness analysis based on lessons from Ebola virus disease
dc.typeArticle
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