Knowledge and factors influencing schistosomiasis control interventions in the hyperendemic health district of Kalabancoro in Mali, 2020
Bibliographic record
Abstract
Introduction: schistosomiasis is a public health concerns in many countries including Mali. In Kalabancoro District, during the 2017 assessments, the National schistosomiasis and soil-transmitted helminths control program reported prevalence´s of 10.83% and 50.83% for urinary schistosomiasis and intestinal schistosomiasis respectively. This district recorded the highest prevalence of intestinal schistosomiasis among the 46 districts evaluated. To better understand these high rates, this study investigated the knowledge of schistosomiasis in children and adults in this district. Methods: a cross-sectional study was conducted which involved 947 participants. A univariate analysis and multiple logistic regression were performed. Data collection was through questionnaire administration. Results: during the study, 76.1% of participants claimed to know about schistosomiasis (p<0.001) among them, 85.6% did not know the mode of contamination (p=0.001) and 66.3% knew the traditional treatment (p=0.004). Participants whose households were close to water impoundment were 2.16 times more likely to know schistosomiasis than those who were not (95% CI = [1.49 - 3.11]). Conclusion: most of the majority of participants reported being aware of schistosomiasis. However, the modes of transmission, prevention, and treatment of schistosomiasis were not well known. Misconceptions persist, hindering effective prevention and control. This is a tangible obstacle to the elimination of schistosomiasis in the Kalabancoro Health District and requires interventions tailored for these endemic communities.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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 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".