BiweeklyParams#

class BiweeklyParams(**data)[source]#

Bases: BaseModelParams

Parameters for the biweekly compartmental measles model (14-day timesteps).

All fields are inherited from BaseModelParams. Key fields:

num_ticks#

Number of biweekly (14-day) simulation steps (e.g., 26 = 1 year, 130 = 5 years).

Type:: int

seed#

Random seed for reproducibility. Default: 20250314.

Type:: int

start_time#

Simulation start in "YYYY-MM" format. Default: "2000-01".

Type:: str

verbose#

Print detailed logging. Default: False.

Type:: bool

Example:

params = BiweeklyParams(num_ticks=26, seed=42)           # 1 year
params = BiweeklyParams(num_ticks=130, seed=0)           # 5 years
params = BiweeklyParams(num_ticks=260, start_time="2005-01")  # 10 years

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Attributes

`model_computed_fields`
`model_config`	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`states`	List of model states.
`time_step_days`	Time step in days.
`seed`
`start_time`
`num_ticks`
`verbose`
`show_progress`
`use_numba`

Methods

property time_step_days: int#: Time step in days. Must be implemented by subclasses.

property states: list[str]#: List of model states. Must be implemented by subclasses.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].