Analysis of a Malaria Transmission Model with Vaccination Proportion and Vaccine-Induced Immunity

This study presents a mathematical model to describe the transmission dynamics of malaria in a highly endemic region, with a focus on vaccination and vaccine-induced immunity as primary control measures. By determining the basic reproduction number (R0), we evaluate the impact of these interventions on malaria-free and malaria-persistent equilibria. Our analysis shows that the malaria-free equilibrium is locally asymptotically stable when R0<1 and unstable otherwise. Numerical simulations demonstrate that increasing vaccination coverage and improving vaccine-induced immunity significantly reduce R0. A sensitivity analysis using partial rank correlation coefficients highlights the influence of key parameters, such as the mosquito-to-human transmission rate and mosquito birth and death rates, on malaria transmission. These findings underscore the potential of integrated strategies, combining vaccination with other interventions, to manage malaria effectively in highly endemic regions.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2025-02-04
DOI
https://doi.org/10.3390/mca30010015
Citations
5
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
4.03
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article

Analysis of a Malaria Transmission Model with Vaccination Proportion and Vaccine-Induced Immunity

Gideon K. Gogovi, Samuel M. Naandam, Paul Chataa
5 citations
Mathematical and Computational Applications
vaccines and immunoinformatics approaches
4.03
article

Analysis of a Malaria Transmission Model with Vaccination Proportion and Vaccine-Induced Immunity

Gideon K. Gogovi, Samuel M. Naandam, Paul Chataa
article en
5 citations

Abstract

This study presents a mathematical model to describe the transmission dynamics of malaria in a highly endemic region, with a focus on vaccination and vaccine-induced immunity as primary control measures. By determining the basic reproduction number (R0), we evaluate the impact of these interventions on malaria-free and malaria-persistent equilibria. Our analysis shows that the malaria-free equilibrium is locally asymptotically stable when R0<1 and unstable otherwise. Numerical simulations demonstrate that increasing vaccination coverage and improving vaccine-induced immunity significantly reduce R0. A sensitivity analysis using partial rank correlation coefficients highlights the influence of key parameters, such as the mosquito-to-human transmission rate and mosquito birth and death rates, on malaria transmission. These findings underscore the potential of integrated strategies, combining vaccination with other interventions, to manage malaria effectively in highly endemic regions.

Mathematical and Computational ApplicationsVol. 30(1)
University of Cape Coast (GH), Lehigh University (US)
Openalex Percentile: Top 7%
vaccines and immunoinformatics approaches
4.03
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Analysis of a Malaria Transmission Model with Vaccination Proportion and Vaccine-Induced Immunity — Gideon K. Gogovi, Samuel M. Naandam, et al. · Mathematical and Computational Applications (2025) | TGRS Research Map | TGRS