Optimizing Protection and Treatment Strategies for Childhood Pneumonia amid Vaccine-Unresponsive Serotypes

A mathematical model integrating both vaccination and treatment strategies for childhood pneumonia is developed to assess conditions for effective disease control. Special attention is given to individuals who do not respond to the vaccine, and their role in pneumonia transmission dynamics is analyzed. The effective reproduction number is derived, and conditions for the asymptotic stability of both the disease-free and endemic equilibria are established. An optimal control analysis is conducted to determine the most effective strategies for minimizing pneumonia cases. Three time-dependent control measures are considered: 1) pneumonia prevention, 2) identification and treatment of carriers, and 3) enhanced treatment of infected individuals. Numerical simulations and sensitivity analysis reveal that while vaccination and treatment significantly reduce pneumonia prevalence, the presence of vaccine-unresponsive serotypes poses a challenge to disease eradication. Additionally, results indicate that implementing multiple control strategies is more effective than relying on a single intervention. A combination of all three measures yields the best outcomes in reducing both infection and carriage rates.

Authors

Publication Details

Journal
Journal of Applied Mathematics and Physics
Published
2025-01-01
DOI
https://doi.org/10.4236/jamp.2025.135103
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Protection and Treatment Strategies for Childhood Pneumonia amid Vaccine-Unresponsive Serotypes

Mohammed Kizito, Michael Byamukama
Journal of Applied Mathematics and Physics
Pneumonia and Respiratory Infections
article

Optimizing Protection and Treatment Strategies for Childhood Pneumonia amid Vaccine-Unresponsive Serotypes

Mohammed Kizito, Michael Byamukama
article en

Abstract

A mathematical model integrating both vaccination and treatment strategies for childhood pneumonia is developed to assess conditions for effective disease control. Special attention is given to individuals who do not respond to the vaccine, and their role in pneumonia transmission dynamics is analyzed. The effective reproduction number is derived, and conditions for the asymptotic stability of both the disease-free and endemic equilibria are established. An optimal control analysis is conducted to determine the most effective strategies for minimizing pneumonia cases. Three time-dependent control measures are considered: 1) pneumonia prevention, 2) identification and treatment of carriers, and 3) enhanced treatment of infected individuals. Numerical simulations and sensitivity analysis reveal that while vaccination and treatment significantly reduce pneumonia prevalence, the presence of vaccine-unresponsive serotypes poses a challenge to disease eradication. Additionally, results indicate that implementing multiple control strategies is more effective than relying on a single intervention. A combination of all three measures yields the best outcomes in reducing both infection and carriage rates.

Journal of Applied Mathematics and PhysicsVol. 13(05)
Openalex Percentile: Top 82%
Pneumonia and Respiratory Infections
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.

Optimizing Protection and Treatment Strategies for Childhood Pneumonia amid Vaccine-Unresponsive Serotypes — Mohammed Kizito, Michael Byamukama · Journal of Applied Mathematics and Physics (2025) | TGRS Research Map | TGRS