Kinetic Models for Epidemic Dynamics in the Presence of Opinion Polarization

Zanella, Mattia

doi:10.1007/s11538-023-01147-2

Cited by 14 publications

(1 citation statement)

References 62 publications

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“…Another trend is to use an opinion dynamics model based on statistical physics; this formulation treats opinion as a continuous variable that changes through random interactions with other individuals and stochastic variation [1,5,11,12,23]. With no processes involving public communication or epidemiological conditions, the model outcomes are strongly dependent on the initial distribution of opinion.…”

Section: Introductionmentioning

confidence: 99%

Healthcare Workers’ Attitudes toward Influenza Vaccination: A Behaviour and Social Drivers Survey

et al. 2023

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This study aimed to understand the intention and correlation of receiving and recommending influenza vaccine (IV) among healthcare workers (HCWs) in China during the 2022/2023 season using the behavior and social drivers (BeSD) tools. A self-administered electronic survey collected 17,832 participants on a media platform. We investigated the willingness of IV and used multivariate logistic regression analysis to explore its associated factors. The average scores of the 3Cs’ model were compared by multiple comparisons. We also explored the factors that potentially correlated with recommendation willingness by partial regression. The willingness of IV was 74.89% among HCWs, and 82.58% of the participants were likely to recommend it to others during this season. Thinking and feeling was the strongest domain independently associated with willingness. All domains in BeSD were significantly different between the hesitancy and acceptance groups. Central factors in the 3Cs model were significantly different among groups (p < 0.01). HCWs’ willingness to IV recommendation was influenced by their ability to answer related questions (r = 0.187, p < 0.001) after controlling for their IV willingness and perceived risk. HCWs’ attitudes towards IV affect their vaccination and recommendation. The BeSD framework revealed the drivers during the decision-making process. Further study should classify the causes in detail to refine HCWs’ education.

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Section: Introductionmentioning

confidence: 99%

Healthcare Workers’ Attitudes toward Influenza Vaccination: A Behaviour and Social Drivers Survey

et al. 2023

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A kinetic model with time‐dependent proliferative/destructive rates

Menale,

Soares

2023

Math Methods in App Sciences

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This paper presents a new kinetic model with time‐dependent proliferative/destructive parameters, where the activity variable of the system attains its values in a discrete real subset. Therefore, a system of nonautonomous nonlinear ordinary differential equations is gained, with the related Cauchy problem. A first result of local existence and uniqueness of positive and bounded solution is proved. Then, the possibility of extend this result globally in time is discussed, with respect to the shape of nonconservative time‐dependent parameters. Numerical simulations are performed for some scenarios, corresponding to different shapes of time‐dependent parameters themselves. Furthermore, the pattern and long‐time behavior of solutions are numerically analyzed. Finally, these results show that equilibria and oscillations may occur.

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Breaking Consensus in Kinetic Opinion Formation Models on Graphons

Düring,

Franceschi,

Wolfram

et al. 2024

J Nonlinear Sci

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In this work, we propose and investigate a strategy to prevent consensus in kinetic models for opinion formation. We consider a large interacting agent system and assume that agent interactions are driven by compromise as well as self-thinking dynamics and also modulated by an underlying static social network. This network structure is included using so-called graphons, which modulate the interaction frequency in the corresponding kinetic formulation. We then derive the corresponding limiting Fokker–Planck equation and analyze its large time behavior. This microscopic setting serves as a starting point for the proposed control strategy, which steers agents away from mean opinion and is characterized by a suitable penalization depending on the properties of the graphon. We show that this minimalist approach is very effective by analyzing the quasi-stationary solution mean-field model in a plurality of graphon structures. Several numerical experiments are also provided to show the effectiveness of the approach in preventing the formation of consensus steering the system toward a declustered state.

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Kinetic Models for Epidemic Dynamics in the Presence of Opinion Polarization

Cited by 14 publications

References 62 publications

Healthcare Workers’ Attitudes toward Influenza Vaccination: A Behaviour and Social Drivers Survey

Healthcare Workers’ Attitudes toward Influenza Vaccination: A Behaviour and Social Drivers Survey

A kinetic model with time‐dependent proliferative/destructive rates

Breaking Consensus in Kinetic Opinion Formation Models on Graphons

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