epiworldR

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.

See also

Useful links:

• https://github.com/UofUEpiBio/epiworldR

• https://uofuepibio.github.io/epiworldR/

• https://uofuepibio.github.io/epiworldR-workshop/

• Report bugs at https://github.com/UofUEpiBio/epiworldR/issues

Author

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]