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laser.measles.biweekly.components.process_infection

laser.measles.biweekly.components.process_infection

laser.measles.biweekly.components.process_infection.InfectionParams

Bases: BaseInfectionParams

Parameters specific to the infection process component.

Example:

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```python
from laser.measles.biweekly.components.process_infection import InfectionParams

params = InfectionParams(beta=0.57, seasonality=0.2)
```

laser.measles.biweekly.components.process_infection.InfectionParams.beta_per_tick property

Transmission rate scaled from daily beta to the biweekly tick.

laser.measles.biweekly.components.process_infection.InfectionProcess(model, verbose=False, params=None)

Bases: BaseInfectionProcess

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:

  2. Base transmission rate (beta)

  3. Seasonal variation
  4. Population mixing matrix

  5. Current number of infected individuals

  6. Converts expected infections to probabilities

  7. Samples actual new infections from a binomial distribution

  8. Updates population states:

  9. Moves current infected to recovered (configurable recovery period)

  10. Adds new infections to infected population
  11. 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.

Example:

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```python
from laser.measles.scenarios.synthetic import single_patch_scenario
from laser.measles.biweekly import BiweeklyModel, BiweeklyParams
from laser.measles.biweekly import components
from laser.measles import create_component

scenario = single_patch_scenario(population=100_000, mcv1_coverage=0.85)
params = BiweeklyParams(num_ticks=52, seed=42, start_time="2000-01")
model = BiweeklyModel(scenario, params)
model.add_component(create_component(components.InfectionProcess, components.InfectionParams(beta=0.57)))
```