Prepare SMC Data for MBG Analysis — calc_smc

Prepares cluster-level Seasonal Malaria Chemoprevention (SMC) receipt data for MBG analysis. SMC coverage among children under 5.

Usage

calc_smc_mbg(
  dhs_kr,
  gps_data,
  survey_vars = list(cluster = "v001", age = "hw1", smc_primary = "hml43", smc_alt =
    "ml13g"),
  gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM")
)

Arguments

dhs_kr: DHS Children's Recode (KR) 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 children who received SMC
samplesize: Total number of children in analysis
x: Longitude
y: Latitude

Details

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

SMC variable availability varies by survey. Common variables include:

hml43: SMC in malaria season (DHS-7+)
ml13g: Received antimalarial for prevention

This function first checks which SMC-related variables are available and uses the most appropriate one.

Examples

if (FALSE) { # \dontrun{
smc_mbg <- calc_smc_mbg(
  dhs_kr = kr_data,
  gps_data = gps_data
)
} # }