data_load_process_wrapper — data_load_process

Load and Process All Model Input Data

Usage

data_load_process_wrapper(
  iso,
  disease,
  R0,
  cfr_off = TRUE,
  year_start = "",
  year_end = "",
  WHO_seed_switch = TRUE,
  aggregate_age = TRUE,
  new_age_breaks = c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80,
    Inf)
)

Arguments

iso: A 3-letter ISO country code identifying the country for analysis (e.g., "ETH" for Ethiopia).
disease: A character string specifying the disease of interest (e.g., "measles", "diphtheria", "pertussis").
R0: Numeric scalar or vector specifying the basic reproduction number, defining disease transmissibility.
cfr_off: Logical; Sets the CFR to zero. Used when calculating current susceptibility as prior mortality rates will already include disease specific mortality.
year_start: Optional numeric value specifying the first year of the simulation window. Default ("") uses the earliest available data year.
year_end: Optional numeric value specifying the last year of the simulation window. Default ("") uses the latest available data year.
WHO_seed_switch: Logical indicating whether to use WHO-style seeding to replicate historical case-reporting patterns (default is `TRUE`).
aggregate_age: Logical indicating whether to aggregate data from single-year age groups into custom age intervals (default is `TRUE`).
new_age_breaks: Numeric vector specifying the breakpoints used to aggregate single-year age groups into broader age bands. Default is `c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, Inf)`.

Value

A named list containing structured parameters ready for use in the PREVAIL dynamic transmission model.

Details

This wrapper function loads internal datasets and processes them into structured model input parameters for a specified country, disease, and vaccine. It integrates demographic, vaccination, and disease data, formatting them appropriately for use in the dynamic transmission model within PREVAIL.