A Non-Standard Finite Difference Discretization Scheme Applied to a Malaria Model

In this research work, a dynamically consistent non-standard finite difference (NSFD) scheme is developed to solve a continuous-time model of malaria transmission with herbal medicine as control strategy. We compared results from NSFD scheme with the standard finite difference methods (4th order Runge-kutta and forward Euler methods). The numerical investigation showed that the proposed NSFD method remains consistent, preserves the positivity of solutions and converges to true equilibrium points of the continuous model independent of the step size h.

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Publication Details

Journal
African Journal of Mathematics and Statistics Studies
Published
2024-11-15
DOI
https://doi.org/10.52589/ajmss-qrlvvi9e
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

A Non-Standard Finite Difference Discretization Scheme Applied to a Malaria Model

AO Isere, R. F. Akerejola, O. A. Elakhe
African Journal of Mathematics and Statistics Studies
Mathematical and Theoretical Epidemiology and Ecology Models
article

A Non-Standard Finite Difference Discretization Scheme Applied to a Malaria Model

AO Isere, R. F. Akerejola, O. A. Elakhe
article en

Abstract

In this research work, a dynamically consistent non-standard finite difference (NSFD) scheme is developed to solve a continuous-time model of malaria transmission with herbal medicine as control strategy. We compared results from NSFD scheme with the standard finite difference methods (4th order Runge-kutta and forward Euler methods). The numerical investigation showed that the proposed NSFD method remains consistent, preserves the positivity of solutions and converges to true equilibrium points of the continuous model independent of the step size h.

African Journal of Mathematics and Statistics StudiesVol. 7(4)
Openalex Percentile: Top 69%
Mathematical and Theoretical Epidemiology and Ecology Models
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A Non-Standard Finite Difference Discretization Scheme Applied to a Malaria Model — AO Isere, R. F. Akerejola, et al. · African Journal of Mathematics and Statistics Studies (2024) | TGRS Research Map | TGRS