epiworldR-package {epiworldR} | R Documentation |
epiworldR
Description
A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author(s)
Maintainer: Derek Meyer derekmeyer37@gmail.com (ORCID)
Authors:
George Vega Yon g.vegayon@gmail.com (ORCID)
Other contributors:
Susan Holmes (ORCID) (JOSS reviewer) [reviewer]
Abinash Satapathy (ORCID) (JOSS reviewer) [reviewer]
Carinogurjao [reviewer]
Centers for Disease Control and Prevention (Award number 1U01CK000585; 75D30121F00003) [funder]
See Also
Useful links:
Report bugs at https://github.com/UofUEpiBio/epiworldR/issues