Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis

Pikkanet Suttirat, Sudarat Chadsuthi, Supassorn Aekthong, Joacim Rocklöv, Dominique J. Bicout, Peter Haddawy, Myat Su Yin, Saranath Lawpoolsri, Charin Modchang

Open source

DOI: 10.1371/journal.pntd.0014590
Published: 2026-07-28
Container: PLOS Neglected Tropical Diseases
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pntd.0014590,
  title = {Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis},
  author = {Pikkanet Suttirat and Sudarat Chadsuthi and Supassorn Aekthong and Joacim Rocklöv and Dominique J. Bicout and Peter Haddawy and Myat Su Yin and Saranath Lawpoolsri and Charin Modchang},
  year = {2026},
  journal = {PLOS Neglected Tropical Diseases},
  doi = {10.1371/journal.pntd.0014590},
  url = {https://doi.org/10.1371/journal.pntd.0014590}
}

RIS

TY  - JOUR
TI  - Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis
AU  - Pikkanet Suttirat
AU  - Sudarat Chadsuthi
AU  - Supassorn Aekthong
AU  - Joacim Rocklöv
AU  - Dominique J. Bicout
AU  - Peter Haddawy
AU  - Myat Su Yin
AU  - Saranath Lawpoolsri
AU  - Charin Modchang
PY  - 2026
JO  - PLOS Neglected Tropical Diseases
DO  - 10.1371/journal.pntd.0014590
UR  - https://doi.org/10.1371/journal.pntd.0014590
ER  -

APA

Suttirat, P., Chadsuthi, S., Aekthong, S., Rocklöv, J., Bicout, D. J., Haddawy, P., Yin, M. S., Lawpoolsri, S., & Modchang, C. (2026). Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0014590

Source records

crossref · retrieved 2026-09-27T13:30:51.033Z