Estimates vaccination coverage using survey-weighted methods from DHS Children's Recode data.
Usage
calc_epi_dhs_core(
dhs_kr,
indicators = c("bcg", "dpt3", "measles1", "fully_vaccinated"),
age_min_months = 12,
age_max_months = 23,
survey_vars = list(cluster = "v021", weight = "v005", stratum = "v022", age = "hw1",
bcg = "h2", dpt1 = "h3", dpt2 = "h4", dpt3 = "h5", polio0 = "h0", polio1 = "h6",
polio2 = "h7", polio3 = "h8", measles1 = "h9", measles2 = "h9a", vita1 = "h33", vita2
= "h33a", malaria = "h68", penta1 = "h51", penta2 = "h52", penta3 = "h53", pneumo1 =
"h54", pneumo2 = "h55", pneumo3 = "h56", rota1 = "h57", rota2 = "h58", rota3 = "h59",
ipv = "h60", hepb0 = "h50", yellowfever = "h61", any = "h10"),
region_var = NULL,
gps_data = NULL,
gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM"),
shapefile = NULL,
admin_level = NULL,
join_nearest = TRUE
)Arguments
- dhs_kr
DHS Children's Recode (KR) dataset.
- indicators
Character vector of vaccines to calculate. Options: "bcg", "dpt1", "dpt2", "dpt3", "polio0", "polio1", "polio2", "polio3", "measles1", "measles2", "vita1", "vita2", "malaria", "any", "never_vaccinated", "fully_vaccinated". Default: c("bcg", "dpt3", "measles1", "fully_vaccinated").
- age_min_months
Minimum age in months (default: 12).
- age_max_months
Maximum age in months (default: 23).
- survey_vars
Named list mapping DHS variable names.
- region_var
Optional column name to use as grouping variable.
- gps_data
Optional DHS GPS dataset.
- gps_vars
Named list for GPS variables.
- shapefile
Optional sf object with administrative boundaries.
- admin_level
Character vector of admin columns.
- join_nearest
Logical.
Value
Tibble with EPI estimates. For each vaccine: dhs_epi_<vaccine>,
dhs_epi_<vaccine>_low, dhs_epi_<vaccine>_upp. Plus dhs_n_epi_eligible.
See also
calc_epi_mbg() for cluster-level MBG inputs