InfectionProcess#

InfectionProcess(model, verbose=False, params=None)[source]#

Component for simulating the spread of infection in the model.

This class implements a stochastic infection process that models disease transmission between different population groups. It uses a seasonally-adjusted transmission rate and accounts for mixing between different population groups.

The infection process follows these steps: 1. Calculates expected new infections based on:

  • Base transmission rate (beta)

  • Seasonal variation

  • Population mixing matrix

  • Current number of infected individuals

  1. Converts expected infections to probabilities

  2. Samples actual new infections from a binomial distribution

  3. Updates population states: - Moves current infected to recovered (configurable recovery period) - Adds new infections to infected population - Removes new infections from susceptible population

Parameters:

  • model (object) – The simulation model containing population states and parameters

  • verbose (bool, default=False) – Whether to print detailed information during execution

  • params (InfectionParams | None, default=None) – Component-specific parameters. If None, will use default parameters

Notes

The infection process uses a configurable recovery period and seasonal transmission rate that varies sinusoidally over time.