论文标题
对观察性社会学习对父母决策的影响对儿童疫苗接种和疾病的影响分布在家庭网络上
Modeling the Effect of Observational Social Learning on Parental Decision-Making for Childhood Vaccination and Diseases Spread over Household Networks
论文作者
论文摘要
在本文中，我们介绍了一种新的父母决策模型，该模型涉及疫苗，以侵害在接触网络上传播的儿童疾病。我们考虑一个由两个重叠网络组成的双层网络，该网络是Erdős-rényi（随机）网络或Barabási-Albert网络。新模型使用贝叶斯聚合规则用于观察社会学习，发生在社交网络上，其中其他决策模型（如投票和Degroot模型）是特殊情况。使用我们的新模型，我们展示了有关疫苗接种偏好的某些社会学习如何导致意见的融合并影响疫苗摄取的水平以及疾病的传播。此外，我们研究了两种社会学习文化的存在对建立疫苗接种和疫苗接种水平的建立的影响。在所有情况下，观察性社会学习和疾病蔓延的动态之间的相互影响取决于网络的拓扑，疫苗的安全性和可用性。
In this paper, we introduce a new model of parental decision-making concerning vaccines against a childhood disease that spreads over a contact network. We consider a bilayer network composed of two overlapping networks which are either Erdős-Rényi (random) networks or Barabási-Albert networks. The new model uses a Bayesian aggregation rule for observational social learning, occurring over a social network, of which other decision models, like voting and DeGroot models, are special cases. Using our new model, we show how some levels of social learning about vaccination preferences can lead to the convergence of opinions and affect levels of vaccine uptake and so disease spread. In addition, we study the effect of the existence of two cultures of social learning on the establishment of social norms of vaccination and levels of vaccine uptake. In all cases, the mutual influence between the dynamics of observational social learning and disease spread is dependent on the network's topology and vaccine safety and availability.
