Dashboard

SMART survey analysis and plausibility report

Estimating acute malnutrition prevalence from raw anthropometry, then producing the plausibility report that decides whether the estimate can be published at all.

930
Children measured
4
Survey teams
98.8%
Weight and height complete

Figure

0 0.295458 0.590916 0.886374 1.18183 SMART concern level Team 1 0.689112 Team 2 0.42448 Team 3 1.09429 Team 4 0.438693 Depth below zero (z)
One team's mean sits beyond the threshold at which SMART flags a measurement problem.

Why this exists

Audience
Nutrition cluster and the national nutrition coordination body
The decision it informs
Whether to accept the survey, exclude a team's data, or repeat the fieldwork before the estimate informs a scale-up.

How these numbers are produced

Every number on this page is computed from the committed dataset file named below by scripts/export/build-project-dashboards.mjs. Nothing is typed by hand and the page contains no script, no external request and no generation date, so rebuilding it on unchanged data produces an identical file.

Source: smart-nutrition-survey-2024.v1.csv

What this page does not show

Prevalence rates are not reported here: SMART quality control has to pass before a prevalence is publishable, and one team fails the concern threshold.