Prepare IRS Data for MBG Analysis — calc_irs

Prepares cluster-level Indoor Residual Spraying (IRS) coverage data for Model-Based Geostatistics (MBG) analysis. Calculates the proportion of households sprayed in the last 12 months.

Usage

calc_irs_mbg(
  dhs_hr,
  gps_data,
  survey_vars = list(cluster = "hv001", irs = "hv253"),
  gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM")
)

Arguments

dhs_hr: DHS Household Records dataset.
gps_data: DHS GPS dataset with cluster coordinates.
survey_vars: Named list mapping DHS variable names.
gps_vars: Named list for GPS variable mapping.

Value

A data.table with columns:

cluster_id: Cluster identifier
indicator: Number of households sprayed
samplesize: Total number of households
x: Longitude
y: Latitude

Details

Methodology: https://github.com/ahadi-analytics/sntmethods/blob/master/inst/methods/irs_dhs.yml

IRS coverage is measured using variable hv253 (household sprayed in last 12 months). This is a household-level indicator.

Examples

if (FALSE) { # \dontrun{
irs_mbg <- calc_irs_mbg(
  dhs_hr = hr_data,
  gps_data = gps_data
)
} # }