Biological invasions and epidemics with nonlocal diffusion along a line

To James D. Murray, with our admiration. The goal of this work is to understand and quantify how a line with nonlocal diffusion given by an integral enhances a reaction-diffusion process occurring in the surrounding plane. This is part of a long-term programme where we aim at modelling, in a mathematically rigorous way, the effect of transportation networks on the speed of biological invasions or propagation of epidemics. We prove the existence of a global propagation speed and characterize in terms of the parameters of the system the situations where such a speed is boosted by the presence of the line. In the course of the study we also uncover unexpected regularity properties of the model. On the quantitative side, the two main parameters are the intensity of the diffusion kernel and the characteristic size of its support. One outcome of this work is that the propagation speed will significantly be enhanced even if only one of the two is large, thus broadening the picture that we have already drawn in our previous works on the subject, with local diffusion modelled by a standard Laplacian. We further investigate the role of the other parameters, enlightening some subtle effects due to the interplay between the diffusion in the half plane and that on the line. Lastly, in the context of propagation of epidemics, we also discuss the model where, instead of a diffusion, displacement on the line comes from a pure transport term.

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Publication Details

Journal
Mathematical Medicine and Biology A Journal of the IMA
Published
2024-08-05
DOI
https://doi.org/10.1093/imammb/dqae014
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.54
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article

Biological invasions and epidemics with nonlocal diffusion along a line

Luca Rossi, Henri Berestycki, Jean‐Michel Roquejoffre
1 citations
Mathematical Medicine and Biology A Journal of the IMA
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

Biological invasions and epidemics with nonlocal diffusion along a line

Luca Rossi, Henri Berestycki, Jean‐Michel Roquejoffre
article en
1 citations

Abstract

To James D. Murray, with our admiration. The goal of this work is to understand and quantify how a line with nonlocal diffusion given by an integral enhances a reaction-diffusion process occurring in the surrounding plane. This is part of a long-term programme where we aim at modelling, in a mathematically rigorous way, the effect of transportation networks on the speed of biological invasions or propagation of epidemics. We prove the existence of a global propagation speed and characterize in terms of the parameters of the system the situations where such a speed is boosted by the presence of the line. In the course of the study we also uncover unexpected regularity properties of the model. On the quantitative side, the two main parameters are the intensity of the diffusion kernel and the characteristic size of its support. One outcome of this work is that the propagation speed will significantly be enhanced even if only one of the two is large, thus broadening the picture that we have already drawn in our previous works on the subject, with local diffusion modelled by a standard Laplacian. We further investigate the role of the other parameters, enlightening some subtle effects due to the interplay between the diffusion in the half plane and that on the line. Lastly, in the context of propagation of epidemics, we also discuss the model where, instead of a diffusion, displacement on the line comes from a pure transport term.

Mathematical Medicine and Biology A Journal of the IMAVol. 42(1)
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Hong Kong University of Science and Technology (HK), Centre d'Analyse et de Mathématique Sociales (FR), University of Maryland, College Park (US), Institut de Mathématiques de Toulouse (FR), Sapienza University of Rome (IT), University of Hong Kong (HK), École des hautes études en sciences sociales (FR)
Good health and well-being
Openalex Percentile: Top 30%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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