Bibliographic record
Abstract
Objectives: To calculate infant and under five mortality rates and to find out the most common causes of death among children.Methods:Study period: The study was done over a period of one month, during Dec. 2007.Study design: Rapid epidemiological survey using UNICEF “last birth technique”.Study setting: The study was done at Al-Hadbaa Primary Health Care Center in Mosul city.Study population: Data was collected from 1046 mothers in child bearing age (15-49 years), who were attending at the antenatal clinic by direct interviewing using a questionnaire form based on the model formulated by UNICIF for childhood mortality survey.Results: The present study showed that the estimated under five mortality rate is 107 /1000 of last live births which represents a rise of 2.5 fold since WHO Maternal and Child Mortality Survey was done at 1990 in Iraq. The Infant mortality rate was estimated to be 95.6 death / 1000 of last live births. The study also showed that the neonatal mortality (0-28 days) constitutes 40.9/1000 last live birth which accounts for 42% from all deaths that occur during 1st year of life. Other findings showed that more than a quarter of all causes of deaths among under five were related to respiratory problems and 15.5% of all causes were linked to congenital abnormalities. Diarrheal disease accounted for 8.6% of causes. Conclusion: Results showed that under five mortality is still considered a major health problem and reflecting defect in health system of the community, needs to be re-evaluated and minimized to be as least as possible.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".