Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks | Jenness | Journal of Statistical Software
Authors: Samuel M. Jenness, Steven M. Goodreau, Martina Morris
Title: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks
Abstract: 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.

Page views:: 2017. Submitted: 2016-02-01. Published: 2018-04-20.
Paper: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks     Download PDF (Downloads: 603)
Supplements:
EpiModel_1.6.5.tar.gz: R source package Download (Downloads: 50; 404KB)
v84i08.R: R replication code Download (Downloads: 66; 10KB)

DOI: 10.18637/jss.v084.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.