Addressing the recent dispersion of urban visceral leishmaniasis in the border of Argentina, Brazil, Paraguay + Uruguay + Bolivia – Project IDRC
Bibliographic record
Abstract
The territory located in the border of Argentina, Brazil and Paraguay is endemic for tegumentary leishmaniasis (TL). However, Lutzomyia longipalpis first report in the area was in 2010-Argentina, in 2012-Brazil, and no records in the Paraguayan border despite of reports of human visceral leishmaniasis (VL) cases. Therefore, we developed a research from 2014 to 2017 to study VL in the three-country border at locality level; Uruguay-2015, and Bolivia-2016 joined latter due to the alerts of VL in the Argentinean borders. The space-time distributions of vectors, infected dogs and environmental variables were recorded and associated at three progressive scales, while anthropological surveys were performed. Three scenarios were characterized based on canine VL prevalence, vector presence-abundance and the spatial distribution consistency between them: settled VL, incipient VL, and steady TL with imported canine VL. The vector abundance was clustered in ‘hot spots’ persistent in time that could act as ‘source populations’. The clustering distribution was associated with environmental variables at the different scales studied. Therefore, the vector distribution (proxy of human-dog exposure) could be modeled in recent southern scenarios to focus the surveillance and interventions on predicted ‘hot spots’, in order to increase the effectiveness and efficiency of program activities.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".