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uofuepibio
epiworldR:Fast Agent-Based Epi Models
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.
Maintained by Andrew Pulsipher. Last updated 1 days ago.
abmagent-based-modelingcovid-19epidemicsepidemiologyr-programmingrpackrpkgseirseir-modelsimulationsirsir-modelcppopenmp
9 stars 8.35 score 58 scripts 1 dependents
nassimayad87
EpiSimR:A 'Shiny' App to Simulate the Dynamics of Epidemic and Endemic Diseases Spread
The 'EpiSimR' package provides an interactive 'shiny' app based on deterministic compartmental mathematical modeling for simulating and visualizing the dynamics of epidemic and endemic disease spread. It allows users to explore various intervention strategies, including vaccination and isolation, by adjusting key epidemiological parameters. The methodology follows the approach described by Brauer (2008) <doi:10.1007/978-3-540-78911-6_2>. Thanks to 'shiny' package.
Maintained by Nassim AYAD. Last updated 1 months ago.
infectious-disease-modelsseir-modelshiny-appssimulationsir-model
4.18 score 1 scripts