登革热在有感染性移民的情况下的传播动态数学建模

E. Donkoh, D. Otoo, Shaibu Osman, Maxwell Baafi, Martin Anokye, Ernest Yeboah Boateng
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引用次数: 0

摘要

登革热是全球被忽视的热带疾病之一,它在疫区的肆虐影响是巨大的。全球化、移民和城市化以及不良的城市规划已成为传染病传播的促成因素。本文利用常微分方程,在移民招募率不变的情况下,建立并分析了一个描述登革热与感染移民动态关系的模型。对模型的局部稳定性、基本繁殖数和模型参数值对基本繁殖数的敏感性进行了定性和定量分析,以了解参数对疾病传播的影响。分析发现,在有传染性移民的情况下,不可能存在∅≥0 的无疾病状态,如果传染性移民的分数∅为正值,模型就会表现出唯一的地方病平衡状态。存在感染性移民分数的唯一地方病平衡是全局渐近稳定的。我们进行了数值模拟,并以图形显示和讨论了结果。结果表明,受感染的移民对登革热的传播起着重要作用,可以通过防止受感染移民的涌入、降低蚊子和人类的接触率来控制登革热的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical modelling of transmission dynamics of Dengue Fever in the presence of infective immigrants
Dengue fever is one of the neglected tropical diseases around the globe and its ravaging effect over the period has been enormous in the affected areas. Globalisation, immigration and urbanization and poor urban planning have become the contributory factors in the spread of infectious diseases. In this paper, a model describing the dynamics of dengue fever incorporated with infection immigrants is formulated and analysed using ordinary differential equations with a constant immigration recruitment rate. The model was qualitatively and quantitatively analysed for its local stability, basic reproductive number and sensitivity of the model parameters values to the basic reproductive number to understand the impact of the parameters on the disease spread. In the analysis, it was found that in the presence of infectious immigrants, there cannot be a disease free state demonstrated by ∅ ≥ 0 where the model demonstrates a unique endemic equilibrium state if the fraction of infectious immigrants ∅ is positive. The unique endemic equilibrium for which there is a fraction of infectious immigrants is globally asymptotically stable. Numerical simulation was performed and the results displayed graphically and discussed. It was revealed that immigration of infected immigrants contributes significantly in the spread of dengue fever and that it can be controlled by preventing the influx of infected immigrants and reducing the mosquitoes and human contact rate.
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