Prepares cluster-level Antenatal Care (ANC) attendance data for Model-Based Geostatistics (MBG) analysis. Calculates the proportion of women who had at least N ANC visits during their most recent pregnancy.
Usage
calc_anc_mbg(
dhs_ir,
gps_data,
indicators = c("anc_1plus", "anc_2plus", "anc_3plus", "anc_4plus"),
birth_window_months = 36,
survey_vars = list(cluster = "v001", interview_date = "v008", birth_date = "b3_01",
anc_visits = "m14_1"),
gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM")
)Arguments
- dhs_ir
DHS Individual Recode dataset.
- gps_data
DHS GPS dataset with cluster coordinates.
- indicators
Character vector of indicators to calculate:
"anc_1plus": At least 1 ANC visit
"anc_2plus": At least 2 ANC visits
"anc_3plus": At least 3 ANC visits
"anc_4plus": At least 4 ANC visits
"anc_8plus": At least 8 ANC visits (2016 WHO recommendation)
Default: c("anc_1plus", "anc_2plus", "anc_3plus", "anc_4plus").
- birth_window_months
Number of months to look back for births. Default: 36 (3 years). Max 60 (5 years).
- survey_vars
Named list mapping DHS variable names.
- gps_vars
Named list for GPS variable mapping.
Value
A list of data.tables (one per indicator), each with columns:
cluster_id: Cluster identifier
indicator: Number of women meeting threshold
samplesize: Total number of women with recent births
x: Longitude
y: Latitude
Details
Methodology: https://github.com/ahadi-analytics/sntmethods/blob/master/inst/methods/anc_dhs.yml
This function uses data on most recent births within the specified window. ANC visits are measured using m14 (number of antenatal visits).
Examples
if (FALSE) { # \dontrun{
anc_mbg <- calc_anc_mbg(
dhs_ir = ir_data,
gps_data = gps_data,
indicators = c("anc_1plus", "anc_4plus")
)
} # }