Susceptible-Infected-Susceptible dynamics with mitigation in connection of infected population

Fuente: arXiv
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Autori principali: Kim, K. M., Dias, C., Hase, M. O.
Natura: Preprint
Pubblicazione: 2025
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author Kim, K. M.
Dias, C.
Hase, M. O.
author_facet Kim, K. M.
Dias, C.
Hase, M. O.
contents The susceptible-infected-susceptible epidemic model is analyzed through a degree-based mean-field approach. In this work, a mitigation factor is introduced in the probability of finding an infected individual following an edge. This modification simulates situations where the infected population reduces its participation in the dynamics of disease propagation, as may happen with the seclusion or hospitalization of infected individuals. A detailed investigation of this new model and its comparison to the original one (without the mitigation factor) was performed on the Barabási-Albert network, where some important results were analytically accessible.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04463
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Susceptible-Infected-Susceptible dynamics with mitigation in connection of infected population
Kim, K. M.
Dias, C.
Hase, M. O.
Statistical Mechanics
The susceptible-infected-susceptible epidemic model is analyzed through a degree-based mean-field approach. In this work, a mitigation factor is introduced in the probability of finding an infected individual following an edge. This modification simulates situations where the infected population reduces its participation in the dynamics of disease propagation, as may happen with the seclusion or hospitalization of infected individuals. A detailed investigation of this new model and its comparison to the original one (without the mitigation factor) was performed on the Barabási-Albert network, where some important results were analytically accessible.
title Susceptible-Infected-Susceptible dynamics with mitigation in connection of infected population
topic Statistical Mechanics
url https://arxiv.org/abs/2501.04463