Review of the Risks of Some Canine Zoonoses from Free-Roaming Dogs in the Post-Disaster Setting of Latin America
Bibliographic record
Abstract
In the absence of humane and sustainable control strategies for free-roaming dogs (FRD) and the lack of effective disaster preparedness planning in developing regions of the world, the occurrence of canine zoonoses is a potentially important yet unrecognized issue. The existence of large populations of FRDs in Latin America predisposes communities to a host of public health problems that are all potentially exacerbated following disasters due to social and environmental disturbances. There are hundreds of recognized canine zoonoses but a paucity of recommendations for the mitigation of the risk of emergence following disasters. Although some of the symptoms of diseases most commonly reported in human populations following disasters resemble a host of canine zoonoses, there is little mention in key public health documents of FRDs posing any significant risk. We highlight five neglected canine zoonoses of importance in Latin America, and offer recommendations for pre- and post-disaster preparedness and planning to assist in mitigation of the transmission of canine zoonoses arising from FRDs following disasters.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".