The final size and critical times of an SIVR epidemic model

To understand the impact of vaccination, we consider an SIVR (susceptible–infected–vaccinated–recovered) model that combines impulsive vaccination into the classical SIR model. The final size is firstly defined and estimated, and then the peak value and peak time are considered. Finally, the critical time for a given infected number is studied, and it can be used to define and estimate the stopping time. Our results extend those for the well-understood SIR model.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2025-02-04
DOI
https://doi.org/10.1186/s13662-025-03902-2
Citations
4
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
5.47

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article

The final size and critical times of an SIVR epidemic model

Mengyun Zhang, Zhigui Lin, Phyu Phyu Win
4 citations
Advances in Continuous and Discrete Models
COVID-19 epidemiological studies
5.47
article

The final size and critical times of an SIVR epidemic model

Mengyun Zhang, Zhigui Lin, Phyu Phyu Win
article en
4 citations

Abstract

To understand the impact of vaccination, we consider an SIVR (susceptible–infected–vaccinated–recovered) model that combines impulsive vaccination into the classical SIR model. The final size is firstly defined and estimated, and then the peak value and peak time are considered. Finally, the critical time for a given infected number is studied, and it can be used to define and estimate the stopping time. Our results extend those for the well-understood SIR model.

Advances in Continuous and Discrete ModelsVol. 2025(1)
Nanjing University of Finance and Economics (CN), Biodiversity and Nature Conservation Association (MM), Yangzhou University (CN)
Major Research Plan
Good health and well-being
Openalex Percentile: Top 5%
COVID-19 epidemiological studies
5.47
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