The Potential of Rats and Bats as Reservoirs of Leptospirosis and Japanese Encephalitis (JE) in Muna Region, Southeast Sulawesi Province, Indonesia
Bibliographic record
Abstract
BACKGROUND: Small mammals such as rats and bats are important animal reservoirs of various zoonotic diseases of public health importance. The potential of rats and bats as a reservoir of leptospirosis and Japanese Encephalitis (JE) in Muna Regency remains unknown. This study aimed to determine the presence of Leptospira spp and JE virus (JEV) in rats and bats in Muna Regency, Southeast Sulawesi Province. METHODS: A cross-sectional survey was carried out in three districts, namely Kabawo, Batalaiworu, and Katobu. Bats and rats were caught in six ecosystems spread across the three districts. Serological (Microscopic Agglutination Test, MAT) and molecular examinations (Polymerase Chain Reactions, PCR) were performed to detect Leptospira spp. and JEV in rats and bats, respectively. RESULTS: A total of 137 rats from seven species were successfully caught, namely Mus sp., Rattus argentiventer, R. nitidus, R. exulans, R. hoffmanni, R. norvegicus, and R. tanezumi. Of which, six species were confirmed positive for Leptospira spp by PCR, with the highest prevalence was found in R. argentiventer (50%) and R. tanezumi (36.4%). Meanwhile, a total of 86 bats were also successfully captured. The JEV antibody was detected in D. viridis, R. celebensis and S. wallacei. CONCLUSION: Rats and bats are the potential reservoirs of leptospirosis and JE in Muna Regency. Most importantly, the study provides the first evidence of JE reservoirs (R. celebensis and S. wallacei) in Sulawesi. Surveillance of leptospirosis and JE are recommended.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".