ArticleBulletin of mathematical biology2023
Kinetic Models for Epidemic Dynamics in the Presence of Opinion Polarization.
Article in Bulletin of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Drivers of health polarization during the COVID-19 pandemic: A systematic review.Science advances · 2025Pooled it
- Generalized Galton's boards explain social phenomena via statistical physics.Scientific reports · 2025Article
- Application and significance of SIRVB model in analyzing COVID-19 dynamics.Scientific reports · 2025Article
- Article
- Application and Significance of SIRVB Model in Analyzing COVID-19 Dynamics.medRxiv : the preprint server for health sciences · 2024Article
- Chaos in Opinion-Driven Disease Dynamics.Entropy (Basel, Switzerland) · 2024Article
- Modeling opinion polarization on social media: Application to Covid-19 vaccination hesitancy in Italy.PloS one · 2023Article
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Abstract
Understanding the impact of collective social phenomena in epidemic dynamics is a crucial task to effectively contain the disease spread. In this work, we build a mathematical description for assessing the interplay between opinion polarization and the evolution of a disease. The proposed kinetic approach describes the evolution of aggregate quantities characterizing the agents belonging to epidemiologically relevant states and will show that the spread of the disease is closely related to consensus dynamics distribution in which opinion polarization may emerge. In the present modelling framework, microscopic consensus formation dynamics can be linked to macroscopic epidemic trends to trigger the collective adherence to protective measures. We conduct numerical investigations which confirm the ability of the model to describe different phenomena related to the spread of an epidemic.
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