Strain#

A strain in the ODE model, optionally introduced from external population.

__init__(**data: Any) → None#

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.

Methods

Attributes

`model_config`	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
`strain_name`
`r0`
`infectious_period`
`exposed_to_infectious`
`vaccine_efficacy`
`is_introduced`
`introduction_time`
`introduction_percentage`
`introduction_scale`
`introduction_ages`
`introduction_ages_mask_vector`

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

strain_name: Annotated[str, BeforeValidator(func=_verify_name, json_schema_input_type=PydanticUndefined)]#

r0: Annotated[float, Ge(ge=0)] | Array | ndarray | bool | number | bool | int | float | complex | Distribution | DeterministicParameter#

infectious_period: Annotated[float, Gt(gt=0)] | Array | ndarray | bool | number | bool | int | float | complex | Distribution#

introduction_time: date | Annotated[float, Ge(ge=0)] | Array | ndarray | bool | number | bool | int | float | complex | Distribution | DeterministicParameter | None#

introduction_percentage: Annotated[float, Gt(gt=0)] | Array | ndarray | bool | number | bool | int | float | complex | Distribution | DeterministicParameter | None#

introduction_scale: Annotated[float, Gt(gt=0)] | Array | ndarray | bool | number | bool | int | float | complex | Distribution | DeterministicParameter | None#

Strain