Economic impact of febrile morbidity and use of permethrin-impregnated bed nets in a malarious area II. Determinants of febrile episodes and the cost of their treatment and malaria prevention.
Bibliographic record
Abstract
The objective of this study is to determine the effect of permethrin insecticide-treated bed net (PITN) use on the incidence of febrile episodes and on household malaria expenses in Benin. Over the course of one year, 208 randomly selected PITN user and non-user households were visited weekly to determine expenditures on febrile morbidity and its treatment, and to monitor spending on malaria prevention. Multivariate analyses were performed to distinguish the effects of PITN use from other important determinants of morbidity, such as malaria-related beliefs and practices, income, and other socio-economic variables. Results from the logistic regression analysis show that the use of PITNs decreases the risk of febrile episodes by 34% in children living in the rural zone. Multiple regression analysis reveals that PITN use does not reduce prevention and treatment expenses. These expenses are significantly associated with women's income. This report also discusses other factors associated with febrile morbidity and malaria-related expenditures.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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".