| Citation: | Yandan Zhang, Tailei Zhang, Zhimin Li. A RUBELLA EPIDEMIC MODEL WITH SEASONALITY[J]. Journal of Applied Analysis & Computation, 2026, 16(3): 1207-1225. doi: 10.11948/20250104 |
In this paper, we formulate a periodic SVPEAIRS model based on the transmission features of rubella. We define the basic reproduction number R0 and show that the disease-free equilibrium is globally asymptotically stable when R0 < 1. The disease is uniformly persistent and there is at least one positive periodic solution when R0>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.
| [1] | S. O. Adewale, T. O. Oluyo, L. W. Olaitan and J. K. Oladejo, Mathematical analysis of rubella disease dynamics: The role of vertical transmission and vaccination, Transpublika International Research in Exact Sciences, 2024, 3(4), 28–43. doi: 10.55047/tires.v3i4.1455 |
| [2] | D. Aleanu, H. Mohammadi and S. Rezapour, A mathematical theoretical study of a particular system of Caputo–Fabrizio fractional differential equations for the Rubella disease model, Advances in Difference Equations, 2020, 2020, 184. DOI: 10.1186/s13662-020-02614-z. |
| [3] | J. P. S. M. de Carvalho and A. A Rodrigues, Strange attractors in a dynamical system inspired by a seasonally forced SIR model, Physica D: Nonlinear Phenomena, 2022, 434, 133268. DOI: 10.1016/j.physd.2022.133268. |
| [4] | J. P. S. M. de Carvalho and A. A Rodrigues, Pulse vaccination in a SIR model: Global dynamics, bifurcations and seasonality, Communications in Nonlinear Science and Numerical Simulation, 2024, 139, 108272. DOI: 10.1016/j.cnsns.2024.108272. |
| [5] | P. Van den Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Mathematical Biosciences, 2002, 180(1–2), 29–48. |
| [6] | M. Han and Y. Ye, On the stability of periodic solutions of piecewise smooth periodic differential equations, Acta Mathematica Scientia, 2024, 44(4), 1524–1535. doi: 10.1007/s10473-024-0418-2 |
| [7] | A. Hurford, X. Wang and X. -Q. Zhao, Regional climate affects salmon lice dynamics, stage structure and management, Proceedings of the Royal Society B, 2019, 286. DOI: 10.1098/rspb.2019.0428. |
| [8] | I. Koca, Analysis of rubella disease model with non-local and non-singular fractional derivatives, An International Journal of Optimization and Control: Theories and Applications, 2018, 8(1), 17–25. |
| [9] | Z. Li and T. Zhang, Analysis of a COVID-19 epidemic model with seasonality, Bulletin of Mathematical Biology, 2022, 84, 146. DOI: 10.1007/s11538-022-01105-4. |
| [10] | Z. Li and X. -Q. Zhao, Global dynamics of a nonlocal periodic reaction-diffusion model of Chikungunya disease, Journal of Dynamics and Differential Equations, 2024, 36(4), 3073–3107. doi: 10.1007/s10884-023-10267-1 |
| [11] | Y. Ma, K. Liu, W. Hu, S. Song, S. Zhang and Z. Shao, Epidemiological characteristics, seasonal dynamic patterns, and associations with meteorological factors of Rubella in Shaanxi Province, China, 2005–2018, The American Journal of Tropical Medicine and Hygiene, 2020, 104, 166–174. DOI: 10.4269/AJTMH.20-0585. |
| [12] | F. O. Ochieng, SEIRS model for malaria transmission dynamics incorporating seasonality and awareness campaign, Infectious Disease Modelling, 2024, 9(1), 84–102. doi: 10.1016/j.idm.2023.11.010 |
| [13] | B. P. Prawoto, A. Abadi and R. Artiono, Dynamic of re-infection rubella transmission model with vaccination, AIP Conference Proceedings, 2020, 2264(1), 020005. |
| [14] | M. M. Al Qurashi, Role of fractal-fractional operators in modeling of rubella epidemic with optimized orders, Open Physics, 2020, 18(1), 1111–1120. doi: 10.1515/phys-2020-0217 |
| [15] | P. Strebel, M, Grabowsky and E. Hoekstra, A. Gay and S. Cochi, Evolution and contribution of a global partnership against measles and rubella, 2001–2023, Vaccines, 2024, 12(6), 693. DOI: 10.3390/VACCINES12060693. |
| [16] | G. T. Tilahun, T. M. Tolasa, M. D. Asfaw and G. A. Wole, Stochastic and deterministic models for rubella dynamics with two doses of vaccination and vertical transmission, Discrete Dynamics in Nature and Society, 2024. DOI: 10.1155/2024/9697951. |
| [17] | G. T. Tilahun, T. M. Tolasa and G. A. Wole, Modeling the dynamics of rubella disease with vertical transmission, Heliyon, 2022, 8(11), e11794. DOI: 10.1016/j.heliyon.2022.e11797. |
| [18] | W. Wang and X. -Q. Zhao, Threshold dynamics for compartmental epidemic models in periodic environments, Journal of Dynamics and Differential Equations, 2008, 20(3), 699–717. doi: 10.1007/s10884-008-9111-8 |
| [19] |
World Health Organization, Immunological basis for immunization: Module 11: Rubella, 2008. |
| [20] |
World Health Organization, Surveillance guidelines for measles, rubella and congenital rubella syndrome in the WHO European Region, 2012. |
| [21] | H. M. Yang and A. R. R. Freitas, Biological view of vaccination described by mathematical modellings: From rubella to dengue vaccines, Math. Biosci. Eng., 2019, 16(4), 3195–3214. |
| [22] | X. -Q. Zhao, Dynamical Systems in Population Biology, Springer International Publishing, New York, 2017. |
| [23] | F. Zhang and X. -Q. Zhao, A periodic epidemic model in a patchy environment, Journal of Mathematical Analysis and Applications, 2007, 325(1), 496–516. doi: 10.1016/j.jmaa.2006.01.085 |
Schematic flow diagram for the rubella model (2.1).
Comparison of reported cases of rubella in China from January 2012 to December 2018 and model (2.1) simulations, where time 0 represents January 1th, 2012, until December 31th, 2018.
When
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Difurcation diagrams.
Phase plane diagram.