A Mathematical Model of the Diphtheria Infection

This work considers the mathematical model of diphtheria disease. A five compartmental model was formulated to group the human population into susceptible (S), exposed (E), infectious (I), treatment (T) and recovered (R). The basic reproduction number ( ) of the model was established and was subsequently used to show that the formulated model is locally asymptotically stable (­­ ). The model was further analyzed with the aid of graphs, and the results show that despite the efficacy of diphtheria vaccine in the prevention of contracting the disease, the most important factor in the Nigeria case after the breakout of the disease is case detection. The more cases detected, the easier it would be to curb the infection.

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Publication Details

Journal
Ilorin Journal of Science
Published
2024-11-03
DOI
https://doi.org/10.54908/iljs.fapscon.2024.11.03.1027
Citations
1
Primary Topic
Diphtheria, Corynebacterium, and Tetanus
Type
article
Field-Weighted Citation Impact
0.62
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article

A Mathematical Model of the Diphtheria Infection

1 citations
Ilorin Journal of Science
Diphtheria, Corynebacterium, and Tetanus
0.62
article

A Mathematical Model of the Diphtheria Infection

article en
1 citations

Abstract

This work considers the mathematical model of diphtheria disease. A five compartmental model was formulated to group the human population into susceptible (S), exposed (E), infectious (I), treatment (T) and recovered (R). The basic reproduction number ( ) of the model was established and was subsequently used to show that the formulated model is locally asymptotically stable (­­ ). The model was further analyzed with the aid of graphs, and the results show that despite the efficacy of diphtheria vaccine in the prevention of contracting the disease, the most important factor in the Nigeria case after the breakout of the disease is case detection. The more cases detected, the easier it would be to curb the infection.

Ilorin Journal of Science
University of Ilorin (NG), Gloucestershire Hospitals NHS Foundation Trust (GB)
Zero hunger
Openalex Percentile: Top 26%
Diphtheria, Corynebacterium, and Tetanus
0.62
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