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Бібліографічні деталі
Автори: Götz, Thomas, Krüger, Tyll, Niedzielewski, Karol, Pestow, Radomir, Schäfer, Moritz, Schneider, Jan
Формат: Preprint
Опубліковано: 2024
Предмети:
Онлайн доступ:https://arxiv.org/abs/2410.08030
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author Götz, Thomas
Krüger, Tyll
Niedzielewski, Karol
Pestow, Radomir
Schäfer, Moritz
Schneider, Jan
author_facet Götz, Thomas
Krüger, Tyll
Niedzielewski, Karol
Pestow, Radomir
Schäfer, Moritz
Schneider, Jan
contents During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one among the many possibilities of a coupled opinion-epidemic system. The findings reveal either intricate periodic patterns or chaotic dynamics, leading to substantial fluctuations in opinion distribution and, consequently, significant variations in the total number of infections over time. Interestingly, the model is exhibiting the protective pattern.
format Preprint
id arxiv_https___arxiv_org_abs_2410_08030
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Chaos in opinion-driven disease dynamics
Götz, Thomas
Krüger, Tyll
Niedzielewski, Karol
Pestow, Radomir
Schäfer, Moritz
Schneider, Jan
Chaotic Dynamics
Dynamical Systems
Physics and Society
Populations and Evolution
During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one among the many possibilities of a coupled opinion-epidemic system. The findings reveal either intricate periodic patterns or chaotic dynamics, leading to substantial fluctuations in opinion distribution and, consequently, significant variations in the total number of infections over time. Interestingly, the model is exhibiting the protective pattern.
title Chaos in opinion-driven disease dynamics
topic Chaotic Dynamics
Dynamical Systems
Physics and Society
Populations and Evolution
url https://arxiv.org/abs/2410.08030