accelerate_measles: Accelerate measles

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate measles

Description

accelerate_measles_routine() accelerate measles by aiming at a +20% percent change between 2013 and 2025 using AROC.

Usage

accelerate_measles_routine(
  df,
  ind_ids = billion_ind_codes("hep"),
  scenario_col = "scenario",
  default_scenario = "default",
  scenario_name = "acceleration",
  ...
)

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.
default_scenario	name of the default scenario.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

Details

Runs:

• scenario_aroc(df, aroc_type = "percent_change", percent_change = 20, baseline_year = 2013, target_year = 2025, small_is_best = FALSE)

Value

data frame with acceleration scenario binded to df. scenario_col is set to acceleration

See Also

HEP acceleration scenarios accelerate_cholera_campaign(), accelerate_detect(), accelerate_espar(), accelerate_meningitis_campaign(), accelerate_polio_routine(), accelerate_yellow_fever_campaign()

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