The Effect of Website “Remaja Cegah DBD” on the Prevention Behaviour of Dengue Haemorrhagic Fever Among Students at Junior High School in Makassar City, Indonesia
Bibliographic record
Abstract
Background: Dengue Haemorrhagic Fever (DHF) is an acute infectious disease caused by the dengue virus. It occurs frequently children and adolescents. In 2023, the incidence of DHF in Makassar City was 26 per 100,000 population. Preventive efforts, such as increasing community awareness through health education at the school level, need to be initiated. Objectives: The aim of this study was analyze the effect of the "Remaja Cegah DBD" (Youth Prevents DHF) website on dengue prevention behavior among students at Public Junior High School (SMPN) in Makassar. Methods: This study was a quasi-experimental design with a non-randomized pre-test and post-test control group design involving 122 students, the main intervention group consisted of 61 respondents at SMPN 8, and the comparison intervention group included 61 respondents at SMPN 6. Data were collected from August 22 to September 6, 2024. Data analysis was conducted using univariate and bivariate methods, including Paired t-test, Wilcoxon test, Independent t-test, and Mann-Whitney test, with Stata Program version 14. Results: There was a significant difference in DHF prevention knowledge before and after the website intervention (p=0.000). There was also a significant difference in attitudes (p=0.000) and practices (p=0.000) before and after the website intervention. Furthermore, there were significant differences in prevention behavior between the main intervention group (website) and the comparison group (leaflet), with statistical test results for knowledge (p=0.000), attitude (p=0.000), and practice (p=0.0016). Conclusion: Website was more effective as an educational prevention of DHF among adolescents or students in Makassar City, compared to leaflet-based media.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".