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

This implementation of the Susceptible-Exposed-Infected-Recovered model is comparable to the compartmental version of the same name. At each step, agents randomly interact with each other, regardless of the distance between them.

The SEIR 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.
Incubation Days: The number of days that an individual is in the exposed state before becoming infectious.
Contact rate: The number of average contacts that an individual has per 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.