The Role of Health Education Intervention towards Improving Knowledge, Attitude and Practice of Onchocerciasis in Enugu State, Southern Nigeria
Bibliographic record
Abstract
BACKGROUND: Onchocerciasis or river blindness constitutes a major burden to households especially in resource-poor settings, causing debilitation and reduction in household productivity. It is an endemic disease in Nigeria. The study aimed to determine the effect of health education on knowledge, attitudes and practices towards onchocerciasis.METHODS: This study was an intervention study carried out among 282 respondents. A multistage sampling technique was used to select the study sample. RESULTS: Both study and control groups had poor knowledge, 40.4% and 41.2% respectively pre-intervention. However, most of the respondents had good practices, but attitudes towards the disease is poor as most respondents do not see onchocerciasis as a serious problem. Knowledge of respondents improved significantly among the study group (X2=37.814, P=0.046) compared to control group (X2=1.756, P=0.416) post-intervention. Also, practices (X2=21.378, P=0.039) towards onchocerciasis improved significantly, but changes in attitudes was not statistically significant post-intervention among study group (X2=35.908, P=0.278).CONCLUSIONS: From our study, health education was shown to improve knowledge and practices on onchocerciasis in the study group compared to control group. Health promotion interventions such as health education campaigns should be scaled-up in onchocerciasis-endemic communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".