当前位置: X-MOL 学术Nonlinear Anal. Real World Appl. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model
Nonlinear Analysis: Real World Applications ( IF 2 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.nonrwa.2020.103194
Olivier Martin , Yasmil Fernandez-Diclo , Jérôme Coville , Samuel Soubeyrand

Insect-borne diseases are diseases carried by insects affecting humans, animals or plants. They have the potential to generate massive outbreaks such as the Zika epidemic in 2015–2016 mostly distributed in the Americas, the Pacific and Southeast Asia, and the multi-foci outbreak caused by the bacterium Xylella fastidiosa in Europe in the 2010s. In this article, we propose and analyze the behavior of a spatially-explicit compartmental model adapted to pathosystems with fixed hosts and mobile vectors disseminating the disease. The behavior of this model based on a system of partial differential equations is complementarily characterized via a theoretical study of its equilibrium states and a numerical study of its transient phase using global sensitivity analysis. The results are discussed in terms of implications concerning the surveillance and control of the disease over a medium-to-long temporal horizon.



中文翻译:

时空宿主-传染病模型的平衡和敏感性分析

昆虫传播的疾病是由昆虫携带的影响人类,动物或植物的疾病。它们有可能引起大规模爆发,例如2015-2016年的寨卡病毒大流行,主要分布在美洲,太平洋和东南亚,以及由Xylella fastidiosa细菌引起的多灶性爆发在2010年代的欧洲 在本文中,我们提出并分析了一种适用于具有固定宿主和传播病原体的病原体的病理系统的空间明确隔室模型的行为。该模型基于偏微分方程组的行为通过对平衡状态的理论研究和对过渡阶段的数值研究(使用全局灵敏度分析)进行了补充表征。就涉及中长期疾病监测和控制疾病的意义讨论了结果。

更新日期:2020-08-01
down
wechat
bug