Lyapunov stability analysis and optimization measures for a dengue disease transmission model

dc.contributor.authorAbidemi, Afeez
dc.contributor.authorAckora-Prah, Joseph
dc.contributor.authorFatoyinbo, Hammed Olawale
dc.contributor.authorAsamoah, Joshua Kiddy K.
dc.contributor.orcid0000-0002-7066-246X
dc.date.accessioned2024-11-20T12:02:26Z
dc.date.available2024-11-20T12:02:26Z
dc.date.issued2022-06
dc.descriptionThis article is published by Elsevier 2022 and is also available at https://doi.org/10.1016/j.physa.2022.127646
dc.description.abstractsystem of ordinary differential equations using dynamical system theory. Appropriate Lyapunov functions are used to carry out an extensive investigation of the global asymptotic dynamics of the model around the dengue-free and dengue-present equilibria. The model is shown to exhibit a forward bifurcation phenomenon using Center Manifold Theory. Sensitivity analysis is carried out to determine the relative importance of the model parameters to the spread of the disease. Using optimal control theory, the model is further extended to a nonlinear optimal control model to explore the impact of four time-dependent control variables, namely, personal protection, treatment drug therapy for latently infected individuals, treatment control for symptomatic individuals and insecticide control for mosquito reduction, on dengue disease dynamics in a population. Cost-effectiveness analysis is conducted on various strategies with combinations of at least three optimal controls to determine the least costly and most effective strategy that can be implemented to contain the spread of dengue in a population.
dc.description.sponsorshipKNUST
dc.identifier.citationPhysica A 602 (2022) 127646
dc.identifier.urihttps://doi.org/10.1016/j.physa.2022.127646
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/15957
dc.language.isoen
dc.publisherElsevier
dc.titleLyapunov stability analysis and optimization measures for a dengue disease transmission model
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Paper2022(13).pdf
Size:
1.69 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Collections