论文标题
在意见存在极化的情况下流行动力学的动力学模型
Kinetic models for epidemic dynamics in the presence of opinion polarization
论文作者
论文摘要
了解集体社会现象在流行动力学中的影响是有效遏制疾病传播的至关重要的任务。在这项工作中，我们建立了一个数学描述，用于评估观点极化与疾病演变之间的相互作用。所提出的动力学方法描述了表征属于流行病学相关状态的药物的汇总数量的演变，并将表明该疾病的传播与意见极化可能出现的共识动态分布密切相关。在当前的建模框架中，微观共识形成动力学可以与宏观流行趋势相关联，以触发集体遵守对保护措施的遵守。我们进行数值研究，以证实该模型描述与流行病传播相关的不同现象的能力。
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.
