EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks

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Authors Samuel M Jenness, Steven M Goodreau, Martina Morris
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper Abstract 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.
Date of publication 2017
Code Programming Language R

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