Epidemic models on social networks-With inference
Epidemic models on social networks-With inference
复制标题
DOI：
10.1111/stan.12203
复制
发表时间：
2020-02-19
影响因子：
1.5
通讯作者：
Britton, Tom
中科院分区：
文献类型：
--
作者：
Britton, Tom
本文考虑在一个结构化的社区，这个结构化的社区本身是由一个随机网络模型描述的感染传播的随机模型。定义了几种常见的网络模型和传输模型，给出了它们的大种群性质。然后，重点转移到统计方法：什么可以估计，以及如何根据基础网络，传输模型和可用数据？这篇调查文章讨论了几个不同的场景，参考了可以找到更多细节的出版物，并确定了重要的开放问题。
This article considers stochastic models for the spread of an infection in a structured community, where this structured community is itself described by a random network model. Some common network models and transmission models are defined and large population properties of them are presented. The focus is then shifted to statistical methodology: what can be estimated and how, depending on the underlying network, transmission model, and the available data? This survey article discusses several different scenarios, giving references to publications where more details can be found, and identifies important open problems.