Zhao Yu, Li Jiangping, Ma Xu
School of Public Health and Management, Ningxia Medical University, Ningxia, Yinchuan 750004, China.
School of Mathematics and Computer Science, Ningxia Normal University, Ningxia, Guyuan 756000, China.
Comput Math Methods Med. 2018 May 2;2018:7360685. doi: 10.1155/2018/7360685. eCollection 2018.
It is well known that the pollution and environmental fluctuations may seriously affect the outbreak of infectious diseases (e.g., measles). Therefore, understanding the association between the periodic outbreak of an infectious disease and noise and pollution still needs further development. Here we consider a stochastic susceptible-infective (SI) epidemic model in a polluted environment, which incorporates both environmental fluctuations as well as pollution. First, the existence of the global positive solution is discussed. Thereafter, the sufficient conditions for the nontrivial stochastic periodic solution and the boundary periodic solution of disease extinction are derived, respectively. Numerical simulation is also conducted in order to support the theoretical results. Our study shows that (i) large intensity noise may help the control of periodic outbreak of infectious disease; (ii) pollution may significantly affect the peak level of infective population and cause adverse health effects on the exposed population. These results can help increase the understanding of periodic outbreak patterns of infectious diseases.
众所周知,污染和环境波动可能会严重影响传染病(如麻疹)的爆发。因此,了解传染病的周期性爆发与噪声和污染之间的关联仍有待进一步深入研究。在此,我们考虑一个受污染环境中的随机易感 - 感染(SI)流行病模型,该模型既纳入了环境波动因素,也考虑了污染因素。首先,讨论了全局正解的存在性。此后,分别推导了非平凡随机周期解和疾病灭绝的边界周期解的充分条件。还进行了数值模拟以支持理论结果。我们的研究表明:(i)高强度噪声可能有助于控制传染病的周期性爆发;(ii)污染可能会显著影响感染人群的峰值水平,并对暴露人群造成不利的健康影响。这些结果有助于增进对传染病周期性爆发模式的理解。