State variables are used in various mathematical models to simulate disease spread, including:
SIR Model The SIR model is one of the simplest compartmental models, involving three states: Susceptible, Infected, and Recovered. It uses differential equations to describe the rates of change between these states.
SEIR Model The SEIR model adds an exposed state to account for the incubation period of the disease, providing a more detailed representation of diseases with a significant latency period.
Agent-Based Models In these models, individuals are simulated as agents that interact according to specific rules. State variables are used to categorize agents and determine their interactions and transitions between states.
