Calculate Aging Rates, Reproductive Parameters, and Maternal Protection

Computes aging rates, reproductive age group indices, reproductive weights for birth assignments, and maternal protection end parameters for both single-year and aggregated age bands.

Usage

calc_aging_and_repro(
  aggregate_age,
  new_age_breaks,
  inputs,
  default_inputs,
  disease_param
)

Arguments

aggregate_age: Logical; if `TRUE`, ages are aggregated into `new_age_breaks`.
new_age_breaks: Numeric vector specifying the breakpoints for aggregated age groups.
inputs: List containing demographic inputs: - `N0`: Initial population structure (must contain `dim1`). - `crude_death`: Crude death rates (must contain `dim3`).
default_inputs: List containing default population data: - `population`: Data.frame with columns `dim1`, `dim2`, and `value`.
disease_param: Data.frame containing disease-specific parameters, including maternal protection duration.

Value

A list containing: - `aging_rate`: Numeric vector of aging rates (per day). - `repro_low`: Integer index of the lowest reproductive age group. - `repro_high`: Integer index of the highest reproductive age group. - `repro_weight`: Data.frame (`dim1`, `dim2`, `value`) of reproductive weights per age group. - `maternal_prot_end`: Integer index indicating age group at which maternal protection ends. - `maternal_prot_weight`: Numeric proportion reflecting partial maternal protection coverage within the final age group.

Details

Reproductive ages are defined as 15–49 years inclusive. When ages are aggregated, the function calculates overlapping proportions of these age bands with the reproductive window. Maternal protection duration is dynamically assigned to the appropriate age group based on provided parameters.