uhc-benchmarking: Benchmarking scenarios

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Benchmarking scenarios

Description

UHC benchmarking scenarios are generated by running 3 versions of scenario_top_n_iso3():

• Top 20% AROC globally

• Top 20% AROC in WHO regions

• Top 20% AROC in World Bank (WB) Income Groups (IC)

Some functions (see below) set additional parameters to guarantee comparability with other scenarios

Usage

benchmarking_anc4(df, ...)

benchmarking_art(df, ...)

benchmarking_beds(df, ...)

benchmarking_bp(df, ...)

benchmarking_doctors(df, ...)

benchmarking_nurses(df, ...)

benchmarking_hwf(df, ...)

benchmarking_dtp3(df, ...)

benchmarking_fh(df, ...)

benchmarking_fp(df, ...)

benchmarking_fpg(df, start_year = 2018, ...)

benchmarking_itn(df, ...)

benchmarking_pneumo(df, ...)

benchmarking_tb(df, ...)

benchmarking_uhc_sanitation(df, ...)

benchmarking_uhc_tobacco(df, ...)

benchmarking_espar(df, ...)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
...	additional parameters to be passed to scenario function
start_year	Base year for contribution calculation, defaults to 2018.

Value

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

Functions

• benchmarking_beds(): Set a upper_limit of 10000

• benchmarking_doctors(): Set a upper_limit of 10000

• benchmarking_hwf(): Set baseline_year to 2012 and aroc_end_year to 2017

• benchmarking_fpg(): Force start_year to 2018

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