How many outbreaks before an epidemic?

Fuente: arXiv
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Hauptverfasser: Rapallo, Fabio, Scalas, Enrico, Terna, Pietro
Format: Preprint
Veröffentlicht: 2025
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author Rapallo, Fabio
Scalas, Enrico
Terna, Pietro
author_facet Rapallo, Fabio
Scalas, Enrico
Terna, Pietro
contents In this work, we study the finite-population behaviour of the Reed-Frost epidemic model. Our analysis relies on the exact expression for the final epidemic size, replaced by Monte Carlo simulations in cases where the exact formula becomes numerically unstable. When the initial reproduction number is greater than a critical threshold, the distribution of the final size becomes bimodal. We therefore define the probabilities of small and large outbreaks, providing an intuitive answer to the question posed in the title through simple arguments based on the geometric distribution. Finally, an agent-based simulation confirms that the Reed-Frost model offers a good approximation in the case of the COVID-19 outbreak.
format Preprint
id arxiv_https___arxiv_org_abs_2511_15736
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle How many outbreaks before an epidemic?
Rapallo, Fabio
Scalas, Enrico
Terna, Pietro
Populations and Evolution
Probability
Statistics Theory
60K99, 82-10, 92-10
In this work, we study the finite-population behaviour of the Reed-Frost epidemic model. Our analysis relies on the exact expression for the final epidemic size, replaced by Monte Carlo simulations in cases where the exact formula becomes numerically unstable. When the initial reproduction number is greater than a critical threshold, the distribution of the final size becomes bimodal. We therefore define the probabilities of small and large outbreaks, providing an intuitive answer to the question posed in the title through simple arguments based on the geometric distribution. Finally, an agent-based simulation confirms that the Reed-Frost model offers a good approximation in the case of the COVID-19 outbreak.
title How many outbreaks before an epidemic?
topic Populations and Evolution
Probability
Statistics Theory
60K99, 82-10, 92-10
url https://arxiv.org/abs/2511.15736