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EpiModel - Mathematical Modeling of Infectious Disease Dynamics

  •    R

Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims. Additional contributors to the EpiModel package include Emily Beylerian, Skye Bender-deMoll, and Kevin Weiss.

EpiModelHIV - Network Models of HIV Transmission Dynamics among MSM and Heterosexuals

  •    R

An R package for simulating HIV transmission dynamics among men who have sex with men and heterosexual populations, developed as an extension to our general network-based epidemic modeling platform, EpiModel. EpiModel and EpiModelHIV use the statistical framework of temporal exponential-family random graph models to fit and simulate models of dynamic 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.