Mortality, Nutrition and Health in Lofa County Liberia 5 Years Post-Conflict
Bibliographic record
Abstract
Liberia remains in transition from a state of humanitarian emergency to development, and Lofa County was the epicentre of recent conflict. This study aimed to estimate mortality and malnutrition and evaluate access to health services, water and sanitation. The survey was conducted in April 2009 and employed a 46 cluster×20 design (n=920 households) with probability proportional to size sampling. The crude mortality rate was 24.3/1000/year (CI: 19.0 to 29.6) or 0.67/10,000/day (CI: 0.52 to 0.81). The global acute malnutrition rate was 7.9% (CI: 5.4 to 8.9), and the severe acute malnutrition rate was 4.5% (CI: 2.9 to 6.7). Access to basic health services was relatively good according to a variety of indicators; however, access to sanitation was low, with 39.5% of households reporting access to toilets or latrines. Despite high rates of displacement and infrastructure destruction, population health appears to be relatively stable 5 years post-conflict, though a continued focus on reconstruction and development is needed.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".