Stochastic epidemics in a heterogeneous community (Part III of the book Stochastic Epidemic Models and Inference)
arXiv:2004.07674 · doi:10.1007/978-3-030-30900-8
Abstract
This document is the Part III of the book 'Stochastic Epidemic Models with Inference' edited by Tom Britton and Etienne Pardoux. Plan of the chapter: 1) Random Graphs, 2) The Reproduction Number R0, 3) SIR Epidemics on Configuration Model Graphs, 4) Statistical Description of Epidemics Spreading on Networks: The Case of Cuban HIV.
Lecture notes of a course given in a CIMPA school in Ziguinchor (Dec. 2015)
References in corpus (8)
- Resolution limit in community detection
- Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
- A microscopic probabilistic description of a locally regulated population and macroscopic approximations
- Modularity clustering is force-directed layout
- Statistical inference for epidemic processes in a homogeneous community (Part IV of the book Stochastic Epidemic Models and Inference)
- Stochastic epidemics in a heterogeneous community (Part III of the book Stochastic Epidemic Models and Inference)
- Partitioning and modularity of graphs with arbitrary degree distribution
- Introduction to statistical inference for infectious diseases