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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Date
2024
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Springer
Abstract
Marburg 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.
Description
This article is published by Springer 2024 and is also available at https://doi.org/10.1186/s13662-024-03833-4
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Citation
Amoah-Mensah et al. Advances in Continuous and DiscreteModels