Unraveling the drivers of leptospirosis risk in Thailand using machine learning
- DOI
- 10.5281/zenodo.15161967
- Published
- 2025
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.15161967,
title = {Unraveling the drivers of leptospirosis risk in Thailand using machine learning},
author = {Suttirat, Pikkanet and Chadsuthi, Sudarat and Modchang, Charin and Rocklöv, Joacim},
year = {2025},
doi = {10.5281/zenodo.15161967},
url = {https://doi.org/10.5281/zenodo.15161967}
}RIS
TY - JOUR TI - Unraveling the drivers of leptospirosis risk in Thailand using machine learning AU - Suttirat, Pikkanet AU - Chadsuthi, Sudarat AU - Modchang, Charin AU - Rocklöv, Joacim PY - 2025 DO - 10.5281/zenodo.15161967 UR - https://doi.org/10.5281/zenodo.15161967 ER -
APA
Pikkanet, S., Sudarat, C., Charin, M., & Joacim, R. (2025). Unraveling the drivers of leptospirosis risk in Thailand using machine learning. https://doi.org/10.5281/zenodo.15161967