Strategies to avert preventable mortality among mothers and children in the Eastern Mediterranean Region: new initiatives, new hope
Bibliographic record
Abstract
We conducted an assessment of maternal, newborn and child health and progress towards achieving Millennium Development Goals (MDG) 4 and 5 in the Eastern Mediterranean Region (EMR). We provide recommendations for scaling up and sustaining gains post-2015. Data were obtained from global data repositories. We constructed time trends from 1990 to 2013 and evaluated inequities across the Region. Under-5, neonatal and maternal mortality rates decreased 46%, 35%, and 50% respectively from 1990 to 2013. Pneumonia and diarrhoea accounted for 50% of all post-neonatal deaths; pregnancy- and delivery-related complications were the leading causes of neonatal and maternal deaths. Coverage of maternal, newborn and child health interventions is suboptimal, and poverty, food insecurity and conflict are pervasive across the Region. The EMR has made progress but is unlikely to attain MDG 4 and 5 targets. To sustain and further accelerate gains, the Region must reduce inequities and scale up implementation of recommendations made by the independent Expert Review Group.
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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 | 0.022 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".