Spatial Prediction of <i>Opisthorchis viverrini</i> Infection Risk Using Multi‐Source Remote Sensing, Hexagonal Grid Optimization, and Ensemble Machine Learning: A Case Study From Northeastern Thailand

Patiwat Littidej, Benjamabhorn Pumhirunroj, Thidarut Boonmars, Atchara Artchayasawat, Nutchanat Buasri, Donald Slack

Open source

DOI: 10.1029/2026gh002245
Published: 2026-11
Container: GeoHealth
Publisher: American Geophysical Union (AGU)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1029/2026gh002245,
  title = {Spatial Prediction of
                    <i>Opisthorchis viverrini</i>
                    Infection Risk Using Multi‐Source Remote Sensing, Hexagonal Grid Optimization, and Ensemble Machine Learning: A Case Study From Northeastern Thailand},
  author = {Patiwat Littidej and Benjamabhorn Pumhirunroj and Thidarut Boonmars and Atchara Artchayasawat and Nutchanat Buasri and Donald Slack},
  year = {2026},
  journal = {GeoHealth},
  doi = {10.1029/2026gh002245},
  url = {https://doi.org/10.1029/2026gh002245}
}

RIS

TY  - JOUR
TI  - Spatial Prediction of
                    <i>Opisthorchis viverrini</i>
                    Infection Risk Using Multi‐Source Remote Sensing, Hexagonal Grid Optimization, and Ensemble Machine Learning: A Case Study From Northeastern Thailand
AU  - Patiwat Littidej
AU  - Benjamabhorn Pumhirunroj
AU  - Thidarut Boonmars
AU  - Atchara Artchayasawat
AU  - Nutchanat Buasri
AU  - Donald Slack
PY  - 2026
JO  - GeoHealth
DO  - 10.1029/2026gh002245
UR  - https://doi.org/10.1029/2026gh002245
ER  -

APA

Littidej, P., Pumhirunroj, B., Boonmars, T., Artchayasawat, A., Buasri, N., & Slack, D. (2026). Spatial Prediction of <i>Opisthorchis viverrini</i> Infection Risk Using Multi‐Source Remote Sensing, Hexagonal Grid Optimization, and Ensemble Machine Learning: A Case Study From Northeastern Thailand. GeoHealth. https://doi.org/10.1029/2026gh002245

Source records

crossref · retrieved 2026-11-10T00:20:13.956Z