Mathematical modelling of measles disease with double dose vaccination

This article presents a mathematical model for measles disease incorporating double dose vaccination strategies as control measures. The model, developed using a system of differential equations, aims to understand the dynamics of measles transmission and the impact of vaccination interventions. The basic reproduction number, , is obtained using the next-generation operator, providing insights into the disease's transmission potential. Analysis of the model revealed that the disease-free equilibrium is locally and asymptotically stable when and unstable otherwise. Numerical simulations revealed a progressive reduction of susceptible individuals to zero over time, indicative of successful disease control. Sensitivity analysis identified the contact rate of infection as positively influential on disease transmission, emphasizing the importance of reducing this parameter. Conversely, the vaccination rate exhibited a negative sensitivity index, emphasizing the critical role of enhancing vaccination efforts in disease prevention. These findings highlight the effectiveness of vaccination campaigns and targeted interventions in controlling measles outbreaks. Recommendations include intensifying vaccination programs, promoting awareness, and adapting control measures to local contexts to sustain disease control efforts and prepare for future challenges. This study contributes to the evidence base for informed public health policies aimed at reducing measles transmission and improving population health outcomes.

Authors

Publication Details

Journal
Journal of Basics and Applied Sciences Research
Published
2025-06-11
DOI
https://doi.org/10.4314/jobasr.v3i3.22
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical modelling of measles disease with double dose vaccination

Raimonda Dervishi, F. Asante-Mensa, William Obeng–Denteh, J.O Odeh et al.
Journal of Basics and Applied Sciences Research
Virology and Viral Diseases
article

Mathematical modelling of measles disease with double dose vaccination

Raimonda Dervishi, F. Asante-Mensa, William Obeng–Denteh, J.O Odeh, B. C. Agbata, P. A. Kwabi, J. Amoah-Mensah, P. K. Meseda
article en

Abstract

This article presents a mathematical model for measles disease incorporating double dose vaccination strategies as control measures. The model, developed using a system of differential equations, aims to understand the dynamics of measles transmission and the impact of vaccination interventions. The basic reproduction number, , is obtained using the next-generation operator, providing insights into the disease's transmission potential. Analysis of the model revealed that the disease-free equilibrium is locally and asymptotically stable when and unstable otherwise. Numerical simulations revealed a progressive reduction of susceptible individuals to zero over time, indicative of successful disease control. Sensitivity analysis identified the contact rate of infection as positively influential on disease transmission, emphasizing the importance of reducing this parameter. Conversely, the vaccination rate exhibited a negative sensitivity index, emphasizing the critical role of enhancing vaccination efforts in disease prevention. These findings highlight the effectiveness of vaccination campaigns and targeted interventions in controlling measles outbreaks. Recommendations include intensifying vaccination programs, promoting awareness, and adapting control measures to local contexts to sustain disease control efforts and prepare for future challenges. This study contributes to the evidence base for informed public health policies aimed at reducing measles transmission and improving population health outcomes.

Journal of Basics and Applied Sciences ResearchVol. 3(3)
Openalex Percentile: Top 79%
Virology and Viral Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.