Epidemic Models with Varying Infectivity on a Refining Spatial Grid—I—The SI Model

We consider a space–time SI epidemic model with infection age dependent infectivity and non-local infections constructed on a grid of the torus Td=[0,1)d, where the individuals may migrate from node to node. The migration processes in either of the two states are assumed to be Markovian. We establish a functional law of large numbers by letting the initial approximate number of individuals on each node, N, to go to infinity and the mesh size of the grid, ε, to go to zero jointly. The limit is a system of parabolic PDE/integral equations. The constraint on the speed of convergence of the parameters N and ε is that Nεd→∞ as (N,ε)→(+∞,0).

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Publication Details

Journal
Mathematics
Published
2024-09-12
DOI
https://doi.org/10.3390/math12182826
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Epidemic Models with Varying Infectivity on a Refining Spatial Grid—I—The SI Model

Ténan Yeo, Anicet Mougabe-Peurkor, Étienne Pardoux
Mathematics
COVID-19 epidemiological studies
article

Epidemic Models with Varying Infectivity on a Refining Spatial Grid—I—The SI Model

Ténan Yeo, Anicet Mougabe-Peurkor, Étienne Pardoux
article en

Abstract

We consider a space–time SI epidemic model with infection age dependent infectivity and non-local infections constructed on a grid of the torus Td=[0,1)d, where the individuals may migrate from node to node. The migration processes in either of the two states are assumed to be Markovian. We establish a functional law of large numbers by letting the initial approximate number of individuals on each node, N, to go to infinity and the mesh size of the grid, ε, to go to zero jointly. The limit is a system of parabolic PDE/integral equations. The constraint on the speed of convergence of the parameters N and ε is that Nεd→∞ as (N,ε)→(+∞,0).

MathematicsVol. 12(18)
Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Laboratoire de Mathématiques Blaise Pascal (FR), Institut Polytechnique de Bordeaux (FR), Université Félix Houphouët-Boigny (CI)
Good health and well-being
Openalex Percentile: Top 83%
COVID-19 epidemiological studies
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Epidemic Models with Varying Infectivity on a Refining Spatial Grid—I—The SI Model — Ténan Yeo, Anicet Mougabe-Peurkor, et al. · Mathematics (2024) | TGRS Research Map | TGRS