Factors Influencing Preventive Behaviors for Dengue Infection Among Housewives in Colombo, Sri Lanka
Bibliographic record
Abstract
Dengue is an infectious disease prevalent in Sri Lanka. Some factors may influence preventive behaviors. This cross-sectional study aimed to determine the knowledge, attitude, and preventive behaviors associated with dengue and analyzed the factors influencing preventive behaviors among housewives in Colombo, Sri Lanka. The analytical study was designed, and data were collected using a structured questionnaire. The χ(2) test and binary logistic regression were used to analyze data. The mean age of housewives was 39.41 years, 91% were married, 52% were Buddhist, and 46.5% had a family monthly income of 15 000 to 25 000 rupees. The knowledge of dengue preventive behaviors was 69.2%. The majority (91.5%) had a positive attitude toward dengue prevention. Only 39.3% used a mosquito net, and 89.3% had water storage container covers. Overall, 58.5% were knowledgeable about preventive measures. Age, religion, family income, education, knowledge, and attitude were associated with preventive behaviors. These findings are useful for dengue control in Colombo.
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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".