Review and A Brief Report on the Health Perspective, Causative Agents, Vectors, and Reservoirs of Visceral Leishmaniasis in Iran
Bibliographic record
Abstract
Background: Visceral leishmaniasis (VL) is still widespread in tropical and subtropical regions worldwide. The vector of the disease is a sandfly, when infected with Leishmania parasite, can transmit the parasite from humans to other vertebrates. As knowledge about causative agents, vectors, and reservoirs of VL in Iran is necessary to control the disease, the present review study has focused on the disease elimination status from a health perspective in the country. Methods: In a recent review, various databases, such as Web of Science, PubMed, Scopus, Cochrane Library, Science Direct, Google Scholar, MEDLIB, Irandoc, Magiran, and SID were searched using the keywords “visceral leishmaniasis”, “VL”, “kala-azar”, “causative agent”, “parasite”, “vector”, “reservoir”, and “Iran”, and the retrieved data were extracted and reviewed independently during 2001-2019. Results: 475 published studies were recorded about VL in Iran from 2001 to 2021. 68 articles were later excluded from the study due to duplication after the initial review. Leishmania infantum and L. tropica were the causative agents, and dogs and humans were the reservoirs. The most common vectors were Phlebotomus major, P. kandelakii, P. keshishiani, P. alexandri, P. perfiliewi, and P. tobbi in different country regions. Conclusion: The prospect of eliminating VL in Iran is inadequate. Based on the findings, L. infantum and L. tropica were the causative agents, and humans and the Caninae subfamily were the VL reservoirs in the country. These findings can be added to the literature when health policymakers target preventive measures for VL in Iran.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".