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Prepare Care-Seeking Behavior Data for MBG Analysis

Source: R/indicator_csb.R
calc_csb_mbg.Rd

Prepares cluster-level care-seeking behavior data for MBG analysis. Calculates proportions of febrile children who sought care at various source types.

Usage

calc_csb_mbg(
  dhs_kr,
  gps_data,
  indicators = c("any", "public", "private", "none"),
  csb_priority_method = c("all", "first", "public", "private"),
  survey_vars = list(cluster = "v001", age = "hw1", fever = "h22"),
  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.

indicators

Character vector of indicators to calculate. standardized sector breakdown:

  • "any": Sought care anywhere (public or private)

  • "public": Public sector including CHW

  • "pub_nochw": Public sector excluding CHW

  • "chw": Community health worker only

  • "private": Any private sector

  • "priv_formal": Private formal sector only

  • "pharmacy": Pharmacy / drug shop only

  • "priv_informal": Private informal only

  • "priv_form_pha": Private formal or pharmacy

  • "trained": Trained provider (public + formal + pharmacy)

  • "none": Did not seek care

Default: c("any", "public", "private", "none").

csb_priority_method

Character, one of "all" (default), "first", "public", or "private". Controls how overlapping care-seeking records are resolved so each individual is assigned to at most one sector:

  • "all": Keep WHO methodology; overlaps allowed (csb_public and csb_private can both be 1 for the same child).

  • "first": Take the first recurring h32 source visited per child (alphabetical h32 order: h32a, h32b, ..., h32x). Mutually exclusive.

  • "public": If child sought any public/CHW care, classify as public; otherwise private if any private; otherwise none.

  • "private": If child sought any private care, classify as private; otherwise public if any public; otherwise none.

With non-"all" values, csb_public + csb_private + csb_none sums to 100%.

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: Numerator count

  • samplesize: Denominator count

  • x: Longitude

  • y: Latitude

Details

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

This function uses KR data on children under 5 who had fever in the last 2 weeks. Care-seeking is determined using h32 variables.

Note: Care-seeking indicators (except "none") are NOT mutually exclusive. A child can appear in both "public" and "private" if they visited both.

See also

calc_csb_dhs() for survey-weighted estimates

Examples

if (FALSE) { # \dontrun{
csb_mbg <- calc_csb_mbg(
  dhs_kr = kr_data,
  gps_data = gps_data,
  indicators = c("public", "none")
)
} # }