Age-Structured (SVEIHR) Model for Diphtheria Transmission Analysis

The research investigates the transmission dynamics of diphtheria and the role of vaccination asa prominent control measure. A novel Susceptible-Vaccinated-Exposed-Infectious-HospitalizedRecovered (SVEIHR) model is developed to analyze the spread of the disease among age-structuredpopulations. The study focuses on the existence and uniqueness of the disease-free equilibrium andconducts stability analyses of both local and global equilibria. Sensitivity analysis of targeted parameters is performed to evaluate their impact on disease transmission dynamics. Numerical simulationsutilizing the Laplace Adomian Decomposition Method illustrate the effects of these parameters onthe compartments of the model, with results presented graphically. Through this comprehensiveanalysis, the study aims to provide insights into the effectiveness of vaccination strategies in controlling diphtheria and inform evidence-based public health interventions.

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Publication Details

Journal
Jurnal Diferensial
Published
2025-04-04
DOI
https://doi.org/10.35508/jd.v7i1.17429
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Age-Structured (SVEIHR) Model for Diphtheria Transmission Analysis

A. Odeyemi, Mutairu Kolawole, Oladele Ojo FADARA
Jurnal Diferensial
Mycobacterium research and diagnosis
article

Age-Structured (SVEIHR) Model for Diphtheria Transmission Analysis

A. Odeyemi, Mutairu Kolawole, Oladele Ojo FADARA
article en

Abstract

The research investigates the transmission dynamics of diphtheria and the role of vaccination asa prominent control measure. A novel Susceptible-Vaccinated-Exposed-Infectious-HospitalizedRecovered (SVEIHR) model is developed to analyze the spread of the disease among age-structuredpopulations. The study focuses on the existence and uniqueness of the disease-free equilibrium andconducts stability analyses of both local and global equilibria. Sensitivity analysis of targeted parameters is performed to evaluate their impact on disease transmission dynamics. Numerical simulationsutilizing the Laplace Adomian Decomposition Method illustrate the effects of these parameters onthe compartments of the model, with results presented graphically. Through this comprehensiveanalysis, the study aims to provide insights into the effectiveness of vaccination strategies in controlling diphtheria and inform evidence-based public health interventions.

Jurnal DiferensialVol. 7(1)
Osun State University (NG), Federal College of Education, Kano (NG)
Division of Mathematical Sciences
Openalex Percentile: Top 62%
Mycobacterium research and diagnosis
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