Diphtheria Disease Transmission Dynamics In Low Vaccine Coverage Setting

Diphtheria is a severely infectious respiratory disease which transmits through droplets and preventable by periodic vaccine programs. In this paper, A six (6) Compartmental model (S, E, IA, IS, Q, R) is presented to undersee the behaviour of diphtheria disease transmission within a group of people with low or zero vaccine coverage and immunity gaps. This research explores epidemiology and mathematically well-posed model. The reproduction number was analysed using the Next Generation Matrix, we underscored that a single infected individual can trigger an outbreak, and further investigation indicates that the disease will subside if the reproduction number (R0) is less than 1, and vice versa if R0 exceeds 1. The model captures disease mitigating strategies like maternally derived immunity, vaccination, Quarantine, and asymptomatic carriers to assess how contagious the disease is and what interventions might be most effective. To validate theoretical model predictions, we conducted numerical simulations using MATLAB 2021a software. Relevant and informative model Simulations are displayed in the full text.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-25
DOI
https://doi.org/10.5281/zenodo.10966276
Primary Topic
Mollusks and Parasites Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Diphtheria Disease Transmission Dynamics In Low Vaccine Coverage Setting

Zenodo (CERN European Organization for Nuclear Research)
Mollusks and Parasites Studies
article

Diphtheria Disease Transmission Dynamics In Low Vaccine Coverage Setting

article en

Abstract

Diphtheria is a severely infectious respiratory disease which transmits through droplets and preventable by periodic vaccine programs. In this paper, A six (6) Compartmental model (S, E, IA, IS, Q, R) is presented to undersee the behaviour of diphtheria disease transmission within a group of people with low or zero vaccine coverage and immunity gaps. This research explores epidemiology and mathematically well-posed model. The reproduction number was analysed using the Next Generation Matrix, we underscored that a single infected individual can trigger an outbreak, and further investigation indicates that the disease will subside if the reproduction number (R0) is less than 1, and vice versa if R0 exceeds 1. The model captures disease mitigating strategies like maternally derived immunity, vaccination, Quarantine, and asymptomatic carriers to assess how contagious the disease is and what interventions might be most effective. To validate theoretical model predictions, we conducted numerical simulations using MATLAB 2021a software. Relevant and informative model Simulations are displayed in the full text.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 63%
Mollusks and Parasites Studies
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Diphtheria Disease Transmission Dynamics In Low Vaccine Coverage Setting · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS