Characterization of Medical Wastes Incinerator Ashes from the Medical City Complex in Baghdad and Implications for Environmental and Public Health
Bibliographic record
Abstract
Medical wastes generated from various medical processes such as diagnosis, treatment, and research in human and veterinary medicine, pose significant environmental and public health risks if improperly managed.This study investigates the inefficiencies of medical wastes incineration at the Medical City Complex in Baghdad and their role in heavy metal contamination.The core objective is to examine the direct links between incinerator inefficiency and elevated levels of heavy metals in incinerator ash.Concentrations of cadmium (4.88-0.85ppm), chromium (44.19-21.31ppm), lead (7.01-2.33 ppm), silver (13.38-4.08 ppm), and arsenic (4.88-0.85ppm) in bottom ash were found to exceed permissible limits, contributing to significant soil and groundwater pollution surrounding the landfill sites.This study represents the first systematic analysis of medical waste incineration in Baghdad, highlighting the critical need for improvements in waste management practices.The findings emphasize the urgent need for better incineration technology, proper disposal of medical waste, and regular monitoring to reduce the area's environmental and public health hazards.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".