SIR models with demography, random transmission coefficient and non-autonomous vaccination rate

Abstract In this paper we investigate the asymptotic behavior of some SIR models incorporating demography, bounded random transmission coefficient and a time-dependent vaccination strategy targeting the susceptible population. In this setting, we establish the existence and uniqueness of non-negative global solution of the models and derive conditions under which either the disease is eradicated or becomes endemic. In addition, the theoretical results are further illustrated by several numerical simulations.

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Journal
Computational and Applied Mathematics
Published
2025-10-15
DOI
https://doi.org/10.1007/s40314-025-03436-z
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

SIR models with demography, random transmission coefficient and non-autonomous vaccination rate

Susana Merchán, Javier López‐de‐la‐Cruz, Felipe Rivero, Javier Rodrigo Hitos
Computational and Applied Mathematics
COVID-19 epidemiological studies
article

SIR models with demography, random transmission coefficient and non-autonomous vaccination rate

Susana Merchán, Javier López‐de‐la‐Cruz, Felipe Rivero, Javier Rodrigo Hitos
article en

Abstract

Abstract In this paper we investigate the asymptotic behavior of some SIR models incorporating demography, bounded random transmission coefficient and a time-dependent vaccination strategy targeting the susceptible population. In this setting, we establish the existence and uniqueness of non-negative global solution of the models and derive conditions under which either the disease is eradicated or becomes endemic. In addition, the theoretical results are further illustrated by several numerical simulations.

Computational and Applied MathematicsVol. 45(2)
Técnicas y Servicios de Ingeniería (Spain) (ES), Universidad Politécnica de Madrid (ES), Universidad Pontificia Comillas (ES)
Comunidad de Madrid, Ministerio de Ciencia, Innovación y Universidades, Ministerio de Economía y Competitividad, Universidad Politécnica de Madrid, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 67%
COVID-19 epidemiological studies
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SIR models with demography, random transmission coefficient and non-autonomous vaccination rate — Susana Merchán, Javier López‐de‐la‐Cruz, et al. · Computational and Applied Mathematics (2025) | TGRS Research Map | TGRS