Modules for simulating SARS-CoV-2 transmission dynamics in different epidemiological settings, developed as an extension to our general network-based epidemic modeling platform, EpiModel.
EpiModel and EpiModelCOVID use the statistical framework of temporal exponential-family random graph models to fit and simulate models of dynamic contact networks. These statistical methods have been developed and implemented as open-source software, building on the extensive efforts of the Statnet research group to build software tools for the representation, analysis, and visualization of complex network data.
These packages combine these Statnet methods with an individual-based epidemic modeling engine to simulate SARS-Cov-2 transmission over networks, allowing for complex dependencies between the network, epidemiological, and demographic changes in the simulated populations. Readers new to these methods are recommended to consult our EpiModel resources, including our main methods paper Vignette describing the theory and implementation.
You can install EpiModelCOVID in R using remotes:
install.packages("EpiModel", dependencies = TRUE)
remotes::install_github("EpiModel/EpiModelCOVID")
Documentation on using this software package is forthcoming, although limited function documentation is provided within the package and available with the help(package = "EpiModelCOVID") command.