Qin Wenjie, Tang Sanyi, Xiang Changcheng, Yang Yali
College of Science, China Three Gorges University, Yichang 443002, PR China.
College of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710062, PR China.
Appl Math Comput. 2016 Jun 20;283:339-354. doi: 10.1016/j.amc.2016.02.042. Epub 2016 Mar 22.
In reality, the outbreak of emerging infectious diseases including SARS, A/H1N1 and Ebola are accompanied by the common cold and flu. The selective treatment measure for mitigating and controlling the emerging infectious diseases should be implemented due to limited medical resources. However, how to determine the threshold infected cases and when to implement the selective treatment tactics are crucial for disease control. To address this, we derive a non-smooth Filippov system induced by selective treatment measure. The dynamic behaviors of two subsystems have been discussed completely, and the existence conditions for sliding segment, sliding mode dynamics and different types of equilibria such as regular equilibrium, pseudo-equilibrium, boundary equilibrium and tangent point have been provided. Further, numerical sliding bifurcation analyses show that the proposed Filippov system has rich sliding bifurcations. Especially, the most interesting results are those for the fixed parameter set as the bifurcation parameter varies, the sliding bifurcations occur sequentially: crossing → buckling → real/virtual equilibrium → buckling → crossing. The key factors which affect the selective treatment measures and the threshold value of infected cases for emerging infectious disease have been discussed in more detail.
实际上,包括非典、甲型H1N1流感和埃博拉在内的新发传染病爆发时,普通感冒和流感也同时存在。由于医疗资源有限,应采取选择性治疗措施来减轻和控制新发传染病。然而,如何确定感染病例阈值以及何时实施选择性治疗策略对于疾病控制至关重要。为解决这一问题,我们推导了由选择性治疗措施诱导的非光滑 Filippov 系统。已全面讨论了两个子系统的动力学行为,并给出了滑动段、滑模动力学以及正则平衡点、伪平衡点、边界平衡点和切点等不同类型平衡点的存在条件。此外,数值滑动分岔分析表明所提出的 Filippov 系统具有丰富的滑动分岔。特别地,最有趣的结果是对于固定参数集,随着分岔参数变化,滑动分岔依次发生:穿越→屈曲→实/虚平衡点→屈曲→穿越。已更详细地讨论了影响新发传染病选择性治疗措施和感染病例阈值的关键因素。