wepidemics

EpiModel

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

doi: 10.18637/jss.v084.i08

keywords: abm, networks, sna, ergm

software:

• EpiModel (R)

Example papers:

• https://www.ncbi.nlm.nih.gov/pubmed/26613096
• https://www.ncbi.nlm.nih.gov/pubmed/27053751
• https://link.springer.com/article/10.1007/s00265-016-2093-3
• http://sti.bmj.com/content/early/2016/06/09/sextrans-2015-052476.abstract
• https://doi.org/10.1016/j.ecolmodel.2022.109973
• https://doi.org/10.1101/2022.05.20.22275395
• https://pubmed.ncbi.nlm.nih.gov/35921635/

Links:

• https://www.epimodel.org
• https://github.com/EpiModel/EpiModelHIV

Content

From the 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.

original entry: https://github.com/UT-IDDynamics/wepidemics/blob/main/data/epimodel.md