Diverse Information Sources and The Community’s High Level of Knowledge About Lymphatic Filariasis in Air Salobar and Waihaong, Ambon City, Indonesia
Bibliographic record
Abstract
Background: Mass Drug Administration (MDA) is a strategy to eliminate lymphatic filariasis (LF) in endemic areas. However, individuals' decision to take LF drugs in MDA is associated with their knowledge and awareness about LF. This study examined the association between the community’s level of knowledge and awareness about LF with the number of informant types and media types for LF information in Waihaong and Air Salobar Health Centers, Ambon City, Indonesia. Methodology: We used data from a household survey conducted in January 2019 involving 944 respondents aged 18-70 living in the study sites. Data analysis was performed using multivariable logistic regression. Results: We found that only 33.3% of respondents had a high level of knowledge and awareness about LF. An increased odds of having a high level of knowledge and awareness about LF was associated with respondents receiving information from more than one type of informant and one type of media (aOR=10.55, 95%CI: 2.35-47.37, p=0.002), and among female respondents (aOR=1.92, 95%CI: 1.25-2.94). Conclusions: These findings emphasize the importance of comprehensive health promotion strategies using different types of informants and media to enhance the community's knowledge and awareness about LF, which is important to support the elimination of LF in Ambon City, Indonesia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".