Mosquito Bed Nets: Implementation in Rural Villages in Zambia and the Effect on Subclinical Parasitaemia and Haemoglobin
Bibliographic record
Abstract
Malaria continues to be an increasing health concern in many endemic areas where it remains a major contributor to childhood morbidity and mortality. Chemoprophylaxis and treatment are increasingly compromised by drug resistance. Vaccination for malaria is not yet available outside clinical trials. In clinical trials bed nets have been shown to be effective in reducing malarial morbidity and mortality. Their efficacy outside of the clinical trial setting has been less well documented. We describe our experience with the introduction of bed nets in a remote rural Zambian village and document the effect on malarial parasitaemia, spleen rates and haemoglobin. Children were evaluated at the end of the rainy seasons in April 1998 and April 1999. Insecticide impregnated nets were made available for purchase to the village in July 1998. Rates of parasitaemia and anaemia were significantly reduced.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".