EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks
EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks
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DOI：
10.1101/213009
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发表时间：
2017-11
期刊：
影响因子：
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通讯作者：
S. Jenness;S. Goodreau;M. Morris
中科院分区：
文献类型：
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作者：
S. Jenness;S. Goodreau;M. Morris
EpiModel提供了用于建立、模拟和分析R中传染病传播的人口动力学的数学模型的工具。其中包括几类模型，但该软件包的独特贡献是为模拟网络上的流行病传播提供了一个通用的随机框架。这一框架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，这使得流行病建模能够牢固地基于关于可能传播感染的接触者和持久伙伴关系的经验数据。本文概述了EpiModel中内置的建模工具和扩展EpiModel的应用程序编程接口，前者旨在促进建模新手的学习，后者旨在促进高级建模人员探索新的研究问题。
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. This framework integrates recent advances in statistical methods for network analysis, temporal exponential random graph models, which allows the epidemic modeling to be firmly grounded in empirical data on the contacts and persistent partnerships 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 EpiModel, designed to facilitate the exploration of novel research questions for advanced modelers.