Evaluation of the Effectiveness of Intervention for Malaria Control in Rural Areas in China
Bibliographic record
Abstract
Malaria can be prevented at the individual level by taking personal protections. However, effective preventiveaction is a result of public health programs that adequately teach preventive measures to the population. Thisstudy was carried out in 2007 to evaluate the knowledge on malaria control and prevention and to evaluate theeffects of intervention for malaria control in rural community in China. An interventional study followed approximately 1971 randomly selected respondents over a period of fourmonths. According to the level of endemicity of the areas, this particular study was carried out in a ruralcommunity. Two surveys were performed for the study in point. Demographic and socioeconomic variableswere used as predictor variables in logistic regression analysis.Different patterns of malaria behavior were found in the closely situated households and at the school level.Gender, age, length of residence time in the areas, and health seeking behaviors was found to be statisticallysignificant predictors of health behaviors (P
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".