inst/models/shiny_sir.md

In epiworldRShiny: A 'shiny' Wrapper of the R Package 'epiworldR'

SIR Network Model

The SIR Network model is the network version of the Susceptible-Infected-Recovered model. In this version, agents are embedded in a network. The probability of infection is determined by the number of infected neighbors that an agent has.

Parameters

The SIR model has the following parameters:

• Disease Name: The name of the disease being modeled.
• % of Population Infected: The percentage of the population that is infected at the start of the simulation.
• Transmission probability: Probability of becoming infected (or exposed, depending on the model) when interacting with an infectious agent.
• Recovery probability (daily): The probability that an individual will recover from the virus on a given day.
• Simulation Time (Days): The number of days to simulate.
• Seed: The seed for the random number generator.
• Population Structure: The population structure to use for the simulation.
• NPIs: The non-pharmaceutical interventions to use for the simulation.

epiworldRShiny documentation built on June 8, 2025, 1:45 p.m.