具有季节性和空间异质性的反应-平流-扩散血吸虫病流行模型的阈值动力学

IF 2.2 4区 数学 Q2 BIOLOGY
Peng Wu, Yurij Salmaniw, Xiunan Wang
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引用次数: 0

摘要

大多数水媒疾病模型都忽略了水流的平流,以简化数学分析和数值计算。然而,平流在决定疾病传播动态方面可以发挥重要作用。本文研究了周期性反应-平流-扩散血吸虫病模型的长期动态,并探讨了平流、季节性和空间异质性对疾病传播的共同影响。我们推导出基本繁殖数\({\mathcal {R}}_0\),并证明当\({\mathcal {R}}_0<1\)时,无病周期解具有全局吸引力,而当\({\mathcal {R}}_0>1\)时,存在正的流行周期解,并且在特殊情况下系统具有均匀持久性。此外,我们还发现\({\mathcal {R}}_0\) 是平流系数的递减函数,这为我们了解为什么血吸虫病在水流缓慢的地区更为严重提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Threshold dynamics of a reaction–advection–diffusion schistosomiasis epidemic model with seasonality and spatial heterogeneity

Threshold dynamics of a reaction–advection–diffusion schistosomiasis epidemic model with seasonality and spatial heterogeneity

Most water-borne disease models ignore the advection of water flows in order to simplify the mathematical analysis and numerical computation. However, advection can play an important role in determining the disease transmission dynamics. In this paper, we investigate the long-term dynamics of a periodic reaction–advection–diffusion schistosomiasis model and explore the joint impact of advection, seasonality and spatial heterogeneity on the transmission of the disease. We derive the basic reproduction number \({\mathcal {R}}_0\) and show that the disease-free periodic solution is globally attractive when \({\mathcal {R}}_0<1\) whereas there is a positive endemic periodic solution and the system is uniformly persistent in a special case when \({\mathcal {R}}_0>1\). Moreover, we find that \({\mathcal {R}}_0\) is a decreasing function of the advection coefficients which offers insights into why schistosomiasis is more serious in regions with slow water flows.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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