A stochastic epidemic model with memory of the last infection and waning immunity

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Hauptverfasser: Guérin, Hélène, Zotsa-Ngoufack, Arsene Brice
Format: Preprint
Veröffentlicht: 2025
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author Guérin, Hélène
Zotsa-Ngoufack, Arsene Brice
author_facet Guérin, Hélène
Zotsa-Ngoufack, Arsene Brice
contents We adapt the article of Forien, Pang, Pardoux and Zotsa: Arxiv preprint Arxiv2210.04667(2022), on epidemic models with varying infectivity and waning immunity, to incorporate the memory of the last infection. To this end, we introduce a parametric approach and consider a piecewise deterministic Markov process modeling both the evolution of the parameter, also called the trait, and the age of infection of individuals over time. At each new infection, a new trait is randomly chosen for the infected individual according to a Markov kernel, and their age is reset to zero. In the large population limit, we derive a partial differential equation (PDE) that describes the density of traits and ages. The main goal is to study the conditions under which endemic equilibria exist for the deterministic PDE model and to establish an endemicity threshold that depends on the model parameters. The local stability of these equilibria is also analyzed. The endemicity threshold is computed for several examples, including models that incorporate a vaccination policy, and a local stability result is obtained for a memory-free SIS-type model.
format Preprint
id arxiv_https___arxiv_org_abs_2505_00601
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A stochastic epidemic model with memory of the last infection and waning immunity
Guérin, Hélène
Zotsa-Ngoufack, Arsene Brice
Probability
Populations and Evolution
60F17, 35Q92, 60K35, 35B40, 92D30
We adapt the article of Forien, Pang, Pardoux and Zotsa: Arxiv preprint Arxiv2210.04667(2022), on epidemic models with varying infectivity and waning immunity, to incorporate the memory of the last infection. To this end, we introduce a parametric approach and consider a piecewise deterministic Markov process modeling both the evolution of the parameter, also called the trait, and the age of infection of individuals over time. At each new infection, a new trait is randomly chosen for the infected individual according to a Markov kernel, and their age is reset to zero. In the large population limit, we derive a partial differential equation (PDE) that describes the density of traits and ages. The main goal is to study the conditions under which endemic equilibria exist for the deterministic PDE model and to establish an endemicity threshold that depends on the model parameters. The local stability of these equilibria is also analyzed. The endemicity threshold is computed for several examples, including models that incorporate a vaccination policy, and a local stability result is obtained for a memory-free SIS-type model.
title A stochastic epidemic model with memory of the last infection and waning immunity
topic Probability
Populations and Evolution
60F17, 35Q92, 60K35, 35B40, 92D30
url https://arxiv.org/abs/2505.00601