Jenness Samuel M, Goodreau Steven M, Morris Martina
Emory University.
University of Washington.
J Stat Softw. 2018 Apr;84. doi: 10.18637/jss.v084.i08. Epub 2018 Apr 20.
Package 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. 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 , designed to facilitate learning for students new to modeling, and the application programming interface for extending package , designed to facilitate the exploration of novel research questions for advanced modelers.
“Package”提供了用于在R中构建、模拟和分析传染病传播人群动态数学模型的工具。其中包括几类模型，但该软件包的独特贡献是一个用于在网络上模拟流行病传播的通用随机框架。它整合了网络分析统计方法（时间指数随机图模型）的最新进展，使流行病建模能够基于可传播感染的接触的经验数据。本文概述了“Package”中内置的建模工具，旨在方便刚接触建模的学生学习，以及用于扩展“Package”的应用程序编程接口，旨在方便高级建模人员探索新的研究问题。
