文章基本信息

标题：EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks
本地全文：下载
作者：Samuel M. Jenness ; Steven M. Goodreau ; Martina Morris 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2018
卷号：84
期号：1
页码：1-47
DOI：10.18637/jss.v084.i08
语种：English
出版社：University of California, Los Angeles
摘要：Package EpiModel provides tools for building, simulating, and analyzing mathematical models for the population dynamics of infectious disease transmission in R. Several classes of models are included, but the unique contribution of this software package is a general stochastic framework for modeling the spread of epidemics on networks. EpiModel integrates recent advances in statistical methods for network analysis (temporal exponential random graph models) that allow the epidemic modeling to be grounded in empirical data on contacts that can spread infection. This article provides an overview of both the modeling tools built into EpiModel, designed to facilitate learning for students new to modeling, and the application programming interface for extending package EpiModel, designed to facilitate the exploration of novel research questions for advanced modelers.