Degree-correlaed vaccination in aymmetric interacting spreading dynamics

Quan-Hui Liu, Xiao-long Chen, Wei Wang
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引用次数: 2

Abstract

Recently, the asymmetric interacting spreading of disease and disease information has attracted much attention. Most of existing studies have assumed that the individuals have the same response (i.e., the same immune probability) when they are aware of the disease. Here we introduce a model of degree-correlated vaccination behavior in the asymmetric interaction of disease and disease information spreading. By extensive simulations, it finds when the vaccination probability is more positive correlated with individual's degree, the inhibition effect of disease information on the spread of disease become less effective. We also find there exists an optimal correlation between the vaccination probability and individual's degree which can inhibit the spread of disease more effectively.
非对称相互作用传播动力学中的度相关疫苗接种
近年来,疾病与疾病信息的不对称交互传播引起了人们的广泛关注。现有的大多数研究都假设个体在意识到疾病时具有相同的反应(即相同的免疫概率)。本文引入了疾病与疾病信息传播不对称相互作用下的程度相关疫苗接种行为模型。通过大量的模拟,发现接种概率与个体程度正相关越大,疾病信息对疾病传播的抑制作用越弱。我们还发现接种概率与个体程度之间存在最优相关关系,可以更有效地抑制疾病的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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