Economic impact of febrile morbidity and use of permethrin-impregnated bed-nets in a malarious area I. Study of demographics, morbidity, and household expenditures associated with febrile morbidity in the Republic of Benin.
Bibliographic record
Abstract
In preparation for a study on the effect of bed net use on malaria, this article describes febrile morbidity and malaria expenditures in a sub-Saharan area (Benin) of hyperendemic malaria. The 325 randomly selected households were visited weekly between April 1994 and March 1995 to determine febrile morbidity and household expenditures for prevention and treatment. The results indicate that rural children had two febrile episodes annually compared with 0.3 episodes among children living in the city. There was no difference in mean annual febrile episodes between adults and children (adults = 1.5, children = 1.5; P = 0.48) and in the expenditures per febrile episode (adults = US$1.85, children = US$1.62; P = 0.45). Annual prevention expenditures were higher for adults than for children (US$1.73 and US$1.28, respectively; P < 0.001), although there was no significant difference in expenditures for annual treatment for adults and children (US$2.15 and US$2.34, respectively). These and other findings are analyzed further and discussed.
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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 | 0.001 |
| 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".