A RUBELLA EPIDEMIC MODEL WITH SEASONALITY

In this paper, we formulate a periodic SVPEAIRS model based on the transmission features of rubella. We define the basic reproduction number <i>R</i><sub>0</sub> and show that the disease-free equilibrium is globally asymptotically stable when <i>R</i><sub>0</sub> &lt; 1. The disease is uniformly persistent and there is at least one positive periodic solution when <i>R</i><sub>0</sub>&gt;1. Numerically, we find that rubella cases in China fluctuate periodically with seasonal changes. Furthermore, when the vaccination rate significantly drops from 0.3 to 0.15, or the recovery rate decreases from 0.6 to 0.3, the rubella epidemic will show an explosive growth trend. This finding emphasizes the great significance of maintaining a high vaccination coverage rate and improving the efficiency of medical treatment in preventing the large-scale spread of rubella. Finally, we analyze the bifurcation phenomenon of the model.

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-12-03
DOI
https://doi.org/10.11948/20250104
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

A RUBELLA EPIDEMIC MODEL WITH SEASONALITY

Journal of Applied Analysis & Computation
Mathematical and Theoretical Epidemiology and Ecology Models
article

A RUBELLA EPIDEMIC MODEL WITH SEASONALITY

article en

Abstract

In this paper, we formulate a periodic SVPEAIRS model based on the transmission features of rubella. We define the basic reproduction number <i>R</i><sub>0</sub> and show that the disease-free equilibrium is globally asymptotically stable when <i>R</i><sub>0</sub> &lt; 1. The disease is uniformly persistent and there is at least one positive periodic solution when <i>R</i><sub>0</sub>&gt;1. Numerically, we find that rubella cases in China fluctuate periodically with seasonal changes. Furthermore, when the vaccination rate significantly drops from 0.3 to 0.15, or the recovery rate decreases from 0.6 to 0.3, the rubella epidemic will show an explosive growth trend. This finding emphasizes the great significance of maintaining a high vaccination coverage rate and improving the efficiency of medical treatment in preventing the large-scale spread of rubella. Finally, we analyze the bifurcation phenomenon of the model.

Journal of Applied Analysis & ComputationVol. 16(3)
Good health and well-being
Openalex Percentile: Top 32%
Mathematical and Theoretical Epidemiology and Ecology Models
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