EpiModel Research Lab
Mathematical Modeling of Infectious Disease Dynamics
EpiModel is an R package for simulating epidemic models over networks, with support for network-based, individual-based, and compartmental modeling frameworks. Its network models are built on the statistical framework of temporal exponential random graph models (ERGMs) via Statnet.
install.packages("EpiModel")
- epimodel.org: the platform hub, with a guided learning pathway from beginner to advanced
- Package documentation: function reference, vignettes, and getting-started guides
- Training materials: our Network Modeling for Epidemics (NME) course
- EpiModel Gallery: worked examples and templates for building custom models
Jenness SM, Goodreau SM, Morris M (2018). EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks. Journal of Statistical Software, 84(8), 1-47. doi:10.18637/jss.v084.i08
EpiModel has been used in 130+ published studies.
Questions and bug reports: open an issue on the main package repository.
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Repositories
- swfcalib Public
Calibration of complex multi-parameter, multi-output models on Slurm-equipped HPC systems
- slurmworkflow Public
An R package for building and running multi-step computational workflows on Slurm-equipped HPC clusters
- ConcurrencyTutorial Public
Exercises to illustrate how relational concurrency does (and does not) affect epidemic dynamics
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