Impact of opinion formation phenomena in epidemic dynamics: kinetic modeling on networks
<|reference_start|>Impact of opinion formation phenomena in epidemic dynamics: kinetic modeling on networks: After the recent COVID-19 outbreaks, it became increasingly evident that individuals' thoughts and beliefs can have a strong impact on disease transmission. It becomes therefore important to understand how information and opinions on protective measures evolve during epidemics. To this end, incorporating the impact of social media is essential to take into account the hierarchical structure of these platforms. In this context, we present a novel approach to take into account the interplay between infectious disease dynamics and socially-structured opinion dynamics. Our work extends a conventional compartmental framework including behavioral attitudes in shaping public opinion and promoting the adoption of protective measures under the influence of different degrees of connectivity. The proposed approach is capable to reproduce the emergence of epidemic waves. Specifically, it provides a clear link between the social influence of highly connected individuals and the epidemic dynamics. Through a heterogeneity of numerical tests we show how this comprehensive framework offers a more nuanced understanding of epidemic dynamics in the context of modern information dissemination and social behavior.<|reference_end|>
@article{albi2024impact,
    title={Impact of opinion formation phenomena in epidemic dynamics: kinetic
  modeling on networks},
    author={Giacomo Albi and Elisa Calzola and Giacomo Dimarco and Mattia Zanella},
    journal={arXiv preprint arXiv:2409.17669},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.17669},
    primaryClass={physics.soc-ph cs.NA math.NA}
}