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.
Additional Resource Information:
Public health officials, modelers
https://github.com/UofUEpiBio/epiworld, https://github.com/UofUEpiBio/epiworldR/, https://github.com/UofUEpiBio/epiworldpy, https://github.com/UofUEpiBio/epiworldRShiny
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Open source (BSD, MIT, Apache, or similar license)
- Open source (BSD, MIT, Apache, or similar license)
- Library requiring detailed coding
- Epidemic Model – Scenario Modeling
https://github.com/UofUEpiBio/epiworld, https://github.com/UofUEpiBio/epiworldR/, https://github.com/UofUEpiBio/epiworldpy, https://github.com/UofUEpiBio/epiworldRShiny
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