National DTP3 vaccination coverage (2022) — load

Reads country-level proportions of diphtheria-tetanus-pertussis (DTP3) vaccine coverage for 2022, with development covariates, from the CSV shipped in the package's extdata directory. The response places a point mass at one (countries achieving complete coverage), making it a natural application of one-inflated beta (BEOI) regression.

Usage

load_vaccination()

Source

WHO/UNICEF Joint Monitoring Programme (coverage); World Bank (GDP, urbanisation, population); UNDP Human Development Report (HDI).

Value

A data frame with one row per country and the columns

iso3c: ISO 3166-1 alpha-3 country code.
dtp3: DTP3 coverage proportion in \([0,1]\) (response).
ln_gdp: Natural log of GDP per capita (PPP, constant USD).
urb: Urbanisation rate (proportion of urban population).
ln_pop: Natural log of total population.
hdi: Human Development Index in \([0,1]\).

Examples

vaccination <- load_vaccination()
summary(vaccination$dtp3)
#>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#>  0.3300  0.8200  0.9100  0.8638  0.9700  1.0000 
mean(vaccination$dtp3 == 1)   # fraction at the boundary
#> [1] 0.09803922