Table of Contents
Fetching ...

On the extinction phase of the contact process with an asymptomatic state

Nicolas Lanchier

TL;DR

The study analyzes an asymptomatic variant of the spatial contact process, where infections occur at rates $λ_1$ (asymptomatic) and $λ_2$ (symptomatic), with asymptomatics converting to symptomatic at rate $γ$. It proves that, for $γ<1/(4d-1)$, extinction persists even when $λ_2=\infty$ if $λ_1$ is small enough, by establishing exponential decay of the Galton-Watson progeny and embedding a block construction that yields domination by a high-parameter oriented percolation process; a perturbation argument then extends extinction to small positive $λ_1$. The main contributions are a rigorous exponential decay bound for the branching progeny, a detailed block-percolation framework, and a perturbative extension of extinction from $λ_1=0$ to small $λ_1>0$, clarifying how local interactions counteract mean-field epidemic behavior. These results advance understanding of extinction regimes in spatial epidemic models with asymptomatic states and provide precise thresholds for parameter regions ensuring disease die-out.

Abstract

The contact process with an asymptomatic state, introduced in [Belhadji, Lanchier and Mercer, Stochastic Process. Appl., 176:104417, 2024], is a natural variant of the basic contact process that distinguishes between asymptomatic (state 1) and symptomatic (state 2) individuals. Infected individuals infect their healthy neighbors at rate $λ_1$ when asymptomatic and at rate $λ_2$ when symptomatic. Newly infected individuals are always asymptomatic and become symptomatic at rate $γ$, and infected individuals recover at rate one regardless of whether they are asymptomatic or symptomatic. Belhadji, Lanchier and Mercer proved that, in the mean-field approximation, there is an epidemic if and only if $λ_1 + γλ_2 > 1 + γ$, showing in particular that, for all $γ> 0$, there is an epidemic for $λ_2$ sufficiently large. In contrast, comparing the process with a subcritical Galton-Watson branching process, they proved for the spatial model that, if $γ< 1 / (4d - 1)$ and $λ_1 = 0$, then there is no epidemic even in the limiting case $λ_2 = \infty$. In this paper, we prove an exponential decay of the progeny of the Galton-Watson branching process, and use a block construction and a perturbation argument, to extend the extinction phase of the process to $λ_1 > 0$ small.

On the extinction phase of the contact process with an asymptomatic state

TL;DR

The study analyzes an asymptomatic variant of the spatial contact process, where infections occur at rates (asymptomatic) and (symptomatic), with asymptomatics converting to symptomatic at rate . It proves that, for , extinction persists even when if is small enough, by establishing exponential decay of the Galton-Watson progeny and embedding a block construction that yields domination by a high-parameter oriented percolation process; a perturbation argument then extends extinction to small positive . The main contributions are a rigorous exponential decay bound for the branching progeny, a detailed block-percolation framework, and a perturbative extension of extinction from to small , clarifying how local interactions counteract mean-field epidemic behavior. These results advance understanding of extinction regimes in spatial epidemic models with asymptomatic states and provide precise thresholds for parameter regions ensuring disease die-out.

Abstract

The contact process with an asymptomatic state, introduced in [Belhadji, Lanchier and Mercer, Stochastic Process. Appl., 176:104417, 2024], is a natural variant of the basic contact process that distinguishes between asymptomatic (state 1) and symptomatic (state 2) individuals. Infected individuals infect their healthy neighbors at rate when asymptomatic and at rate when symptomatic. Newly infected individuals are always asymptomatic and become symptomatic at rate , and infected individuals recover at rate one regardless of whether they are asymptomatic or symptomatic. Belhadji, Lanchier and Mercer proved that, in the mean-field approximation, there is an epidemic if and only if , showing in particular that, for all , there is an epidemic for sufficiently large. In contrast, comparing the process with a subcritical Galton-Watson branching process, they proved for the spatial model that, if and , then there is no epidemic even in the limiting case . In this paper, we prove an exponential decay of the progeny of the Galton-Watson branching process, and use a block construction and a perturbation argument, to extend the extinction phase of the process to small.
Paper Structure (5 sections, 11 theorems, 64 equations)

This paper contains 5 sections, 11 theorems, 64 equations.

Key Result

Theorem 1

For all $\gamma < 1 / (4d - 1)$, there exists $\lambda_1 (\gamma) > 0$ such that

Theorems & Definitions (11)

  • Theorem 1
  • Lemma 2
  • Lemma 3
  • Lemma 4
  • Lemma 5
  • Lemma 6
  • Lemma 7
  • Lemma 8
  • Lemma 9
  • Lemma 10
  • ...and 1 more