pearl.multimorbidity

Functions pertraining to multimorbidity calculations.

Functions

create_comorbidity_pop_matrix(pop, ...)

Create and return the population matrix as a numpy array for calculating the probability of incidence of any of the 9 comorbidities.

create_mm_detail_stats(pop)

Count the number of people with each unique set of comorbidities.
pearl.multimorbidity.create_mm_detail_stats(pop: pandas.DataFrame) → pandas.DataFrame[source]

Count the number of people with each unique set of comorbidities.

Parameters:

pop (pd.DataFrame) – Population Dataframe.

Returns:

Count of the number of people with each unique set of comorbidities.

Return type:

pd.DataFrame

pearl.multimorbidity.create_comorbidity_pop_matrix(pop: pandas.DataFrame, condition: str, parameters: Parameters) → Any[source]

Create and return the population matrix as a numpy array for calculating the probability of incidence of any of the 9 comorbidities. Each comorbidity has a unique set of variables as listed below.

Parameters:

  • pop (pd.DataFrame) – Population for use in preparation for Pearl.calculate_prob.

  • condition (str) – Morbidity as a string value.

  • parameters (Parameters) – Parameters object that contains spline knots for interpolation calculations for select morbidities.

Returns:

numpy array representing the population for use in Pearl.calculate_prob.

Return type:

NDArray[Any]