InfectionProcess#

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

Component for simulating SEIR disease progression with daily timesteps.

This class implements a stochastic SEIR infection process that models disease transmission and progression through compartments. It uses daily rates and accounts for mixing between different population groups.

The SEIR infection process follows these steps: 1. Calculate force of infection based on:

  • Base transmission rate (beta)

  • Seasonal variation

  • Population mixing matrix

  • Current number of infectious individuals

  1. Stochastic transitions using binomial sampling: - S → E: New exposures based on force of infection - E → I: Progression from exposed to infectious - I → R: Recovery from infection

  2. Update population states for all compartments

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 daily rates and seasonal transmission that varies sinusoidally over time with a period of 365 days.