Evaluation of a Short Term Education Program in Rural Southern Ethiopia
Bibliographic record
Abstract
Trachoma, a bacterial infection of the eye, remains the leading cause of preventable blindness worldwide. Education programs help curb the spread of disease and several programs are student-led. This study evaluates a similar short-term education program focused on transmission and prevention of trachoma.A one-week education program was enacted by students from Texas focusing on prevention and transmission of trachoma. Populations included 30 members of an established women’s group and 89 elementary students in Aleto Wondo, Ethiopia. A pretest was administered to evaluate baseline knowledge of this illness. After program completion, a posttest was administered to evaluate changes in knowledge and, thereby, effectiveness of the education program.Survey results showed improvement in knowledge in both children and adults regarding the etiology of trachoma; average pretest to posttest scores improved from 48% to 74% correct in adolescents and from 57% to 90% correct in adults. Both groups showed improved knowledge regarding transmission of trachoma; average pretest to posttest scores improved from 39% to 95% correct in adolescents and from 34% to 83% correct in adults. The children showed improved knowledge regarding prevention of trachoma. However, we did not show a significant improvement in knowledge regarding prevention of trachoma in the adults.Our work shows that this education program can be effective in increasing knowledge and prevention of trachoma, particularly among children. We hope that our education program can set an example of successful educational intervention for other student-led trips to endemic areas around the world.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".