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The effect of competition between health opinions on epidemic dynamics

Past major epidemic events showed that when an infectious disease is perceived to cause severe health outcomes, individuals modify health behavior affecting epidemic dynamics. To investigate the effect of this feedback relationship on epidemic dynamics, we developed a compartmental model that couple...

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Autores principales: Teslya, Alexandra, Nunner, Hendrik, Buskens, Vincent, Kretzschmar, Mirjam E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802282/
https://www.ncbi.nlm.nih.gov/pubmed/36712334
http://dx.doi.org/10.1093/pnasnexus/pgac260
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author Teslya, Alexandra
Nunner, Hendrik
Buskens, Vincent
Kretzschmar, Mirjam E
author_facet Teslya, Alexandra
Nunner, Hendrik
Buskens, Vincent
Kretzschmar, Mirjam E
author_sort Teslya, Alexandra
collection PubMed
description Past major epidemic events showed that when an infectious disease is perceived to cause severe health outcomes, individuals modify health behavior affecting epidemic dynamics. To investigate the effect of this feedback relationship on epidemic dynamics, we developed a compartmental model that couples a disease spread framework with competition of two mutually exclusive health opinions (health-positive and health-neutral) associated with different health behaviors. The model is based on the assumption that individuals switch health opinions as a result of exposure to opinions of others through interpersonal communications. To model opinion switch rates, we considered a family of functions and identified the ones that allow health opinions to coexist. Finally, the model includes assortative mixing by opinions. In the disease-free population, either the opinions cannot coexist and one of them is always dominating (mono-opinion equilibrium) or there is at least one stable coexistence of opinions equilibrium. In the latter case, there is multistability between the coexistence equilibrium and the two mono-opinion equilibria. When two opinions coexist, it depends on their distribution whether the infection can invade. If presence of the infection leads to increased switching to a health-positive opinion, the epidemic burden becomes smaller than indicated by the basic reproduction number. Additionally, a feedback between epidemic dynamics and health opinion dynamics may result in (sustained) oscillatory dynamics and a switch to a different stable opinion distribution. Our model captures feedback between spread of awareness through social interactions and infection dynamics and can serve as a basis for more elaborate individual-based models.
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spelling pubmed-98022822023-01-26 The effect of competition between health opinions on epidemic dynamics Teslya, Alexandra Nunner, Hendrik Buskens, Vincent Kretzschmar, Mirjam E PNAS Nexus Biological, Health, and Medical Sciences Past major epidemic events showed that when an infectious disease is perceived to cause severe health outcomes, individuals modify health behavior affecting epidemic dynamics. To investigate the effect of this feedback relationship on epidemic dynamics, we developed a compartmental model that couples a disease spread framework with competition of two mutually exclusive health opinions (health-positive and health-neutral) associated with different health behaviors. The model is based on the assumption that individuals switch health opinions as a result of exposure to opinions of others through interpersonal communications. To model opinion switch rates, we considered a family of functions and identified the ones that allow health opinions to coexist. Finally, the model includes assortative mixing by opinions. In the disease-free population, either the opinions cannot coexist and one of them is always dominating (mono-opinion equilibrium) or there is at least one stable coexistence of opinions equilibrium. In the latter case, there is multistability between the coexistence equilibrium and the two mono-opinion equilibria. When two opinions coexist, it depends on their distribution whether the infection can invade. If presence of the infection leads to increased switching to a health-positive opinion, the epidemic burden becomes smaller than indicated by the basic reproduction number. Additionally, a feedback between epidemic dynamics and health opinion dynamics may result in (sustained) oscillatory dynamics and a switch to a different stable opinion distribution. Our model captures feedback between spread of awareness through social interactions and infection dynamics and can serve as a basis for more elaborate individual-based models. Oxford University Press 2022-11-16 /pmc/articles/PMC9802282/ /pubmed/36712334 http://dx.doi.org/10.1093/pnasnexus/pgac260 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Biological, Health, and Medical Sciences
Teslya, Alexandra
Nunner, Hendrik
Buskens, Vincent
Kretzschmar, Mirjam E
The effect of competition between health opinions on epidemic dynamics
title The effect of competition between health opinions on epidemic dynamics
title_full The effect of competition between health opinions on epidemic dynamics
title_fullStr The effect of competition between health opinions on epidemic dynamics
title_full_unstemmed The effect of competition between health opinions on epidemic dynamics
title_short The effect of competition between health opinions on epidemic dynamics
title_sort effect of competition between health opinions on epidemic dynamics
topic Biological, Health, and Medical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802282/
https://www.ncbi.nlm.nih.gov/pubmed/36712334
http://dx.doi.org/10.1093/pnasnexus/pgac260
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