具有分布延迟和一类非线性发病率的疟疾传播动力学数学模型

IF 0.1 Q4 MATHEMATICS Cogent mathematics & statistics Pub Date : 2018-01-01 DOI:10.1080/25742558.2018.1564531
Ousmane Koutou, B. Traoré, B. Sangaré
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引用次数: 16

摘要

摘要一般来说,大多数媒介传播疾病的感染过程涉及人类宿主和媒介的潜伏期。关于其他出版物,田和宋最近提出了一个SIR-SI模型来分析潜伏期对具有非线性传播率的媒介传播疾病的影响。但他们对部分免疫的个体对蚊子有轻微感染这一事实保持沉默。因此,考虑到部分免疫的个体对蚊子仍有轻微的感染性,本文对遵循SIRS-SI模式的疟疾全球传播动态进行了类似的研究。已经使用下一代矩阵方法计算了基本再现率。此外,利用特征方程和不等式分析技术,给出了系统表现出阈值行为的条件如下:当R0<1时,无病平衡是全局渐近稳定的,这意味着疾病最终会消亡;当R0>1时,独特的地方病平衡是全局渐近稳定的,这意味着疾病将持续存在。最后,进行了一些数值模拟来说明我们的理论结果。
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Mathematical model of malaria transmission dynamics with distributed delay and a wide class of nonlinear incidence rates
Abstract Generally, the infection process of most vector-borne diseases involves a latent period in both human hosts and vectors. With regards to other publications, Tian and Song have recently proposed an SIR-SI model to analyze the effects of the incubation period on a vector-borne disease with nonlinear transmission rate. But they were silent on the fact that the partially immune individuals are slightly infective to mosquitoes. So, by considering that the partially immune individuals remain slightly infective to mosquitoes, a similar work has been done in this paper for malaria global transmission dynamics following an SIRS-SI pattern. The basic reproduction ratio has been calculated using the next-generation matrix method. Furthermore, using the characteristic equations and inequality analytical techniques, conditions are given under which the system exhibits threshold behavior as follows: when R0 < 1, the disease-free equilibrium is globally asymptotically stable meaning that the disease will eventually die out; and the unique endemic equilibrium is globally asymptotically stable when R0 > 1 meaning that the disease will persist. Finally, some numerical simulations have been performed to illustrate our theoretical results.
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