Analyzing pneumonia transmission with a fractional SVEIR model: the role of vaccination in disease eradication

In recent years, pneumonia has emerged as a significant global health concern, particularly affecting children under five and adults over 65. This study employs the Caputo-Fabrizio fractional derivative to analyze the dynamics of pneumonia using a deterministic Susceptible-Vaccinated-Exposed-Infected-Recovered (SVEIR) model. The research focuses on stability analysis, the basic reproduction number, and equilibrium points within the framework of dynamical systems theory. The study examines disease-free equilibrium states and establishes conditions for their local asymptotic stability. The Lagrange interpolation method is applied to obtain numerical solutions, and MATLAB simulations are conducted to assess the impact of various parameters on disease progression. The reproduction numbers, both with and without vaccination, provide crucial insights into population responses to immunization. A comparative analysis demonstrates that if the vaccination rate surpasses a critical threshold, the prevalence of pneumonia declines, ultimately leading to disease eradication. This study underscores the vital role of vaccination in pneumonia control and presents a mathematical framework for predicting disease behavior under different epidemiological conditions.

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Publication Details

Journal
Discover Public Health
Published
2026-01-13
DOI
https://doi.org/10.1186/s12982-025-01316-9
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
41.85
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article

Analyzing pneumonia transmission with a fractional SVEIR model: the role of vaccination in disease eradication

Madhuchanda Rakshit, Taruna Garg, Shyamsunder
1 citations
Discover Public Health
Mathematical and Theoretical Epidemiology and Ecology Models
41.85
article

Analyzing pneumonia transmission with a fractional SVEIR model: the role of vaccination in disease eradication

Madhuchanda Rakshit, Taruna Garg, Shyamsunder
article en
1 citations

Abstract

In recent years, pneumonia has emerged as a significant global health concern, particularly affecting children under five and adults over 65. This study employs the Caputo-Fabrizio fractional derivative to analyze the dynamics of pneumonia using a deterministic Susceptible-Vaccinated-Exposed-Infected-Recovered (SVEIR) model. The research focuses on stability analysis, the basic reproduction number, and equilibrium points within the framework of dynamical systems theory. The study examines disease-free equilibrium states and establishes conditions for their local asymptotic stability. The Lagrange interpolation method is applied to obtain numerical solutions, and MATLAB simulations are conducted to assess the impact of various parameters on disease progression. The reproduction numbers, both with and without vaccination, provide crucial insights into population responses to immunization. A comparative analysis demonstrates that if the vaccination rate surpasses a critical threshold, the prevalence of pneumonia declines, ultimately leading to disease eradication. This study underscores the vital role of vaccination in pneumonia control and presents a mathematical framework for predicting disease behavior under different epidemiological conditions.

Discover Public HealthVol. 23(1)
Guru Kashi University (IN), SRM University (IN)
Good health and well-being
Openalex Percentile: Top 2%
Mathematical and Theoretical Epidemiology and Ecology Models
41.85
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Analyzing pneumonia transmission with a fractional SVEIR model: the role of vaccination in disease eradication — Madhuchanda Rakshit, Taruna Garg, et al. · Discover Public Health (2026) | TGRS Research Map | TGRS