Affiliation:
1. School of Mathematics Shandong University Jinan China
2. Interdisciplinary Lab for Mathematical Ecology & Epidemiology Department of Mathematical and Statistical Sciences University of Alberta Edmonton Canada
Abstract
AbstractWe propose susceptible‐infected‐susceptible epidemic reaction–diffusion models with cognitive movement and nonlinear incidence in a spatially heterogeneous environment. The cognitive dispersal term takes either random diffusion or symmetric diffusion. Building upon the ‐estimates of positive solutions under , we state the asymptotic dynamics for , . The numerical results reveal spatial segregation of susceptible and infected populations: (a) the heterogeneous random diffusion can segregate the population and reduce the infection fraction significantly; (b) the segregation phenomenon disappears as the ratio approaches one from below; (c) the disease‐free region strengthens the segregation induced by heterogeneous random diffusion; (d) the segregation governed by random diffusion is more sensitive to the incidence mechanism; (e) the distribution of steady states driven by symmetric diffusion is always similar to that by homogeneous diffusion.
Funder
China Scholarship Council
Natural Science Foundation of Shandong Province
National Natural Science Foundation of China
Natural Sciences and Engineering Research Council of Canada
Cited by
1 articles.
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