Peace impact on health: population access to iodized salt in south Sudan in post-conflict period
Bibliographic record
Abstract
AIM: To determine the population access to salt/iodized salt during and after the armed conflict in south Sudan and to illustrate geographical variations in population consumption of iodized salt in south Sudan after the armed conflict. METHODS: The sources of data for the conflict period were the 2004 Toward a Baseline: Best Estimates of Social Indicators for Southern Sudan study report and the 2000 Multiple Indicators Cluster Survey, and for the post-conflict period the 2005 Sudan Household Health Survey (SHHS) data set. RESULTS: After peace agreement, population access to salt increased by 6.8% (Z=5.488, P<0.001) and the consumption of iodized salt increased by 32.9% (Z=24.668, P<0.001). More than 73% of families were using iodized salt but geographical differences existed between states. CONCLUSION: Peace had positive impact on population access to iodized salt in south Sudan. Public health authorities in south Sudan need to establish quality monitoring and surveillance systems to track progress toward Universal Salt Iodization goal defined by the World Health Organization, United Nations Children's Fund, and the International Council for the Control of Iodine Deficiency Disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".