Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model
Abstract
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 {\it 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 transitive 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.
Cite
@article{arxiv.2002.07542,
title = {Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model},
author = {Olivier Martin and Yasmil Fernandez-Diclo and Jerome Coville and Samuel Soubeyrand},
journal= {arXiv preprint arXiv:2002.07542},
year = {2020}
}