accelerate_target_beds: Accelerate beds to 18 by 2025

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate beds to 18 by 2025

Description

Accelerate beds by first dividing countries into two groups:

• For countries with 18 or more beds for all years after 2018, business as usual is returned.

• For countries which have less than 18 beds for any of the years after 2018 (inclusive), 18 beds is targeted by 2025

Usage

accelerate_target_beds(
  df,
  ind_ids = billion_ind_codes("uhc"),
  scenario_col = "scenario",
  value_col = "value",
  start_year = 2018,
  default_scenario = "default",
  bau_scenario = "historical",
  scenario_name = "acceleration_target",
  ...
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
ind_ids	Named vector of indicator codes for input indicators to the Billion. Although separate indicator codes can be used than the standard, they must be supplied as a named vector where the names correspond to the output of billion_ind_codes().
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
value_col	Name of the column containing indicator value in df.
start_year	Year from which the acceleration scenario begins, inclusive.
default_scenario	name of the default scenario.
bau_scenario	name of scenario to be used for business as usual. Default is historical.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

See Also

Target scenario accelerate_target_anc4(), accelerate_target_art(), accelerate_target_bp(), accelerate_target_doctors(), accelerate_target_dtp3(), accelerate_target_fh(), accelerate_target_fpg(), accelerate_target_fp(), accelerate_target_hwf(), accelerate_target_itn(), accelerate_target_nurses(), accelerate_target_pneumo(), accelerate_target_tb(), accelerate_target_uhc_sanitation(), accelerate_target_uhc_tobacco()

gpw13/billionaiRe documentation built on Sept. 27, 2024, 10:05 p.m.