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Proceedings of the American Mathematical Society
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https://dx.doi.org/10.48550/ar...
Article . 2019
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Fast diffusion inhibits disease outbreaks

Authors: Gao, Daozhou; Dong, Chao-Ping;

Fast diffusion inhibits disease outbreaks

Abstract

We show that the basic reproduction number of an SIS patch model with standard incidence is either strictly decreasing and strictly convex with respect to the diffusion coefficient of infected subpopulation if the patch reproduction numbers of at least two patches in isolation are distinct or constant otherwise. Biologically, it means that fast diffusion of the infected people reduces the risk of infection. This completely solves and generalizes a conjecture by Allen et al. ({\it SIAM J Appl Math}, 67: 1283-1309, 2007). Furthermore, a substantially improved lower bound on the multipatch reproduction number, a generalized monotone result on the spectral bound the Jacobian matrix of the model system at the disease-free equilibrium, and the limiting endemic equilibrium are obtained. The approach and results can be applied to a class of epidemic patch models where only one class of infected compartments migrate between patches and one transmission route is involved.

15 pages

Related Organizations
Keywords

Epidemiology, Populations and Evolution (q-bio.PE), Dynamical Systems (math.DS), 91D25, 34D20, 92D30 (Primary), 34D05, 15B48, 15A42 (Secondary), Global stability of solutions to ordinary differential equations, monotonicity, patch model, essentially nonnegative matrix, basic reproduction number, FOS: Biological sciences, FOS: Mathematics, diffusion coefficient, Mathematics - Dynamical Systems, Quantitative Biology - Populations and Evolution, spectral bound

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 10%
Top 10%
Top 10%
Green
hybrid