Mucocutaneous Leishmaniasis: Knowledge, Attitudes, and Practices Among Paraguayan Communities, Patients, and Health Professionals
Bibliographic record
Abstract
Cutaneous leishmaniasis (CL) and mucocutaneous leishmaniasis (MCL) due to Leishmania (V.) braziliensis are endemic in Paraguay. We performed a series of knowledge, attitudes, and practice (KAP) surveys simultaneously with individuals in endemic communities in San Pedro department (n = 463), health professionals (n = 25), and patients (n = 25). Results showed that communities were exposed to high risk factors for transmission of L. braziliensis. In logistic regression analysis, age was the only factor independently associated with having seen a CL/MCL lesion (P = 0.002). The pervasive attitude in communities was that CL was not a problem. Treatment seeking was often delayed, partly due to secondary costs, and inappropriate remedies were applied. Several important cost-effective measures are indicated that may improve control of CL. Community awareness could be enhanced through existing community structures. Free supply of specific drugs should continue but ancillary support could be considered. Health professionals require routine and standardised provision of diagnosis and treatment algorithms for CL and MCL. During treatment, all patients could be given simple information to increase awareness in the community.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".