An age-structured epidemic model with vaccination
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909243799502848 |
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| author | Zhou, Ruiyang Wei, Fengying |
| author_facet | Zhou, Ruiyang Wei, Fengying |
| contents | In this article, we construct an age-structured model for COVID-19 with vaccination and analyze it from multiple perspectives. We derive the unique disease-free equilibrium point and the basic reproduction number $ \mathscr{R}_0 $, then we show that the disease-free equilibrium is locally asymptotically stable when $ \mathscr{R}_0 < 1 $, while is unstable when $ \mathscr{R}_0 > 1 $. We also work out endemic equilibrium points and reveal the stability. We use sensitivity analysis to explore how parameters influence $ \mathscr{R}_0 $. Sensitivity analysis helps us develop more targeted strategies to control epidemics. Finally, this model is used to discuss the cases in Shijiazhuang, Hebei Province at the beginning of 2021. We compare reported cases with the simulation to evaluate the measures taken by Shijiazhuang government. Our study shows how age structure, vaccination and drastic containment measures can affect the epidemic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2205_03912 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | An age-structured epidemic model with vaccination Zhou, Ruiyang Wei, Fengying Populations and Evolution Physics and Society In this article, we construct an age-structured model for COVID-19 with vaccination and analyze it from multiple perspectives. We derive the unique disease-free equilibrium point and the basic reproduction number $ \mathscr{R}_0 $, then we show that the disease-free equilibrium is locally asymptotically stable when $ \mathscr{R}_0 < 1 $, while is unstable when $ \mathscr{R}_0 > 1 $. We also work out endemic equilibrium points and reveal the stability. We use sensitivity analysis to explore how parameters influence $ \mathscr{R}_0 $. Sensitivity analysis helps us develop more targeted strategies to control epidemics. Finally, this model is used to discuss the cases in Shijiazhuang, Hebei Province at the beginning of 2021. We compare reported cases with the simulation to evaluate the measures taken by Shijiazhuang government. Our study shows how age structure, vaccination and drastic containment measures can affect the epidemic. |
| title | An age-structured epidemic model with vaccination |
| topic | Populations and Evolution Physics and Society |
| url | https://arxiv.org/abs/2205.03912 |