诺如病毒传播的动力学建模与稳定性分析
Dynamic Modeling and Stability Analysis of Norovirus Transmission
摘要: 本文针对诺如病毒在“人类–贝类–家畜–水源”间的多宿主循环传播特性,构建了多宿主传染病动力学模型,刻画了诺如病毒随时间的演化规律。通过计算基本再生数 R 0 ,给出了阈值定理。借助单调动力系统和极限系统理论,证明了当 R 0 <1 时,无病平衡点的全局渐近稳定,病毒可逐步消亡;当 R 0 >1 时,系统存在唯一全局稳定的地方病平衡点,病毒持续流行。数据拟合和数值模拟结果进一步验证了模型和所得结论的合理性,为实现诺如病毒的精准防控提供理论支持。
Abstract: In view of the multi-host cyclic transmission of norovirus among humans, shellfish, livestock, and water sources, this paper constructs a dynamical model to characterize the temporal evolution of the virus. By calculating the basic reproduction number, we establish the threshold theorem. Utilizing the theory of monotone dynamical systems and limit systems, we prove that when the basic reproduction number is below unity, the disease-free equilibrium is globally asymptotically stable, indicating that the virus will eventually die out; when it exceeds unity, the system admits a unique globally stable endemic equilibrium, implying that the virus will persist endemically. Numerical simulations and data fitting confirm the model’s validity, laying a theoretical foundation for precision prevention and control strategies against norovirus.
文章引用:陈莉湘, 吕贵臣. 诺如病毒传播的动力学建模与稳定性分析[J]. 理论数学, 2026, 16(9): 62-76. https://doi.org/10.12677/pm.2026.169199

参考文献

[1] 祝媛钊. 多场景下诺如病毒暴发疫情的传播动力学特征及干预措施效果评估研究[D]: [硕士学位论文]. 厦门: 厦门大学, 2022.
[2] 汤巧雨, 高玺玉, 宋杨, 等. 2007-2021年我国诺如病毒急性胃肠炎暴发疫情流行特征及影响因素分析[J]. 中华流行病学杂志, 2023, 44(5): 751-758.
[3] 史方, 周毅, 刘茂华, 等. 诺如病毒感染的传播动力学研究[J]. 中国国境卫生检疫杂志, 2015, 38(6): 413-418.
[4] 秦海燕, 侯强. 具有非线性发生率的诺如病毒传播动力学模型分析[J]. 河北科技大学学报, 2021, 42(2): 127-134.
[5] 孙春云, 谢显清, 刘渠, 等. 深圳市龙岗区诺如病毒感染性腹泻聚集性疫情流行动力特征[J]. 疾病监测, 2019, 34(4): 332-337.
[6] 许玉成, 周志峰, 赵梦蓝, 等. 深圳市福田区学校诺如病毒感染性疫情经济负担评估和停课措施的卫生经济学评价[J]. 现代预防医学, 2019, 46(17): 3151-3156.
[7] 韦懿芸, 刘锋. 基于动力学模型的北京市某大学诺如病毒暴发疫情流行趋势和防控效果分析[J]. 传染病信息, 2025, 38(1): 76-82.
[8] 俞国龙, 陈田木, 祝媛钊, 等. 基于动力学模型的诺如病毒感染性腹泻暴发疫情防控措施效果分析[J]. 疾病监测, 2021, 36(12): 1312-1318.
[9] 张越, 毕若萌, 马建新, 等. 基于动力学模型对北京市一起水源性诺如病毒暴发疫情防控措施的效果分析[J]. 疾病监测, 2023, 38(8): 1007-1013.
[10] 来远为, 汪金燕. 基于传染病动力学模型的诺如病毒疫情防控措施定量分析[J]. 高师理科学刊, 2024, 44(8): 44-49.
[11] Ain, Q.T., Qiang, X., Rao, Y., Shi, X., Kosari, S. and Kou, Z. (2024) Extinction Dynamics and Equilibrium Patterns in Stochastic Epidemic Model for Norovirus: Role of Temporal Immunity and Generalized Incidence Rates. Fractal and Fractional, 8, Article No. 586.
https://doi.org/10.3390/fractalfract8100586
[12] Song, Y., Liu, P. and Din, A. (2024) A Novel Stochastic Model for Human Norovirus Dynamics: Vaccination Impact with Lévy Noise. Fractal and Fractional, 8, Article No. 349.
https://doi.org/10.3390/fractalfract8060349
[13] Ji, J., Ahmed, S. and Wang, H. (2025) A Hybrid Approach to Study and Forecast Climate-Sensitive Norovirus Infections in the USA. Journal of Theoretical Biology, 598, Article ID: 112007.
https://doi.org/10.1016/j.jtbi.2024.112007
[14] Ndendya, J.Z., Mwasunda, J.A. and Mbare, N.S. (2025) Modeling the Effect of Vaccination, Treatment and Public Health Education on the Dynamics of Norovirus Disease. Modeling Earth Systems and Environment, 11, Article No. 150.
https://doi.org/10.1007/s40808-025-02326-x
[15] Chen, T., Gu, H., Leung, R.K., Liu, R., Chen, Q., Wu, Y., et al. (2016) Evidence-Based Interventions of Norovirus Outbreaks in China. BMC Public Health, 16, Article No. 1072.
https://doi.org/10.1186/s12889-016-3716-3
[16] Smith, H.L. and Waltman, P. (1995) The Theory of the Chemostat: Dynamics of Microbial Competition. Cambridge University Press.
https://doi.org/10.1017/cbo9780511530043
[17] 吕贵臣, 陆征一. 高维系统稳定性的几何判据[M]. 北京: 科学出版社, 2019.
[18] van den Driessche, P. and Watmough, J. (2002) Reproduction Numbers and Sub-Threshold Endemic Equilibria for Compartmental Models of Disease Transmission. Mathematical Biosciences, 180, 29-48.
https://doi.org/10.1016/s0025-5564(02)00108-6
[19] Kiss, I.Z., Green, D.M. and Kao, R.R. (2006) The Effect of Contact Heterogeneity and Multiple Routes of Transmission on Final Epidemic Size. Mathematical Biosciences, 203, 124-136.
https://doi.org/10.1016/j.mbs.2006.03.002
[20] Ma, Z. and Li, J. (2009) Dynamical Modeling and Analysis of Epidemics. World Scientific.
[21] Chavez, C.C., Feng, Z. and Huang, W. (2002) On the Computation of and Its Role on Global Stability. In: Castillo-Chavez, C., Blower, S., van den Driessche, P., Kirschner, D. and Yakubu, A.-A., Eds., Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction (Minneapolis, MN, 1999), Vol. 125 of IMA Volumes in Mathematics and Its Applications, Springer, 229-245.
[22] Zhao, X.-Q. and Jing, Z.-J. (1996) Global Asymptotic Behavior in Some Cooperative Systems of Functional Differential Equations. Canadian Applied Mathematics Quarterly, 4, 421-444.