Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand
- DOI
- 10.1016/j.onehlt.2026.101320
- Published
- 2026-06
- Container
- One Health
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.onehlt.2026.101320,
title = {Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand},
author = {Benjamabhorn Pumhirunroj and Patiwat Littidej and Thidarut Boonmars and Atchara Artchayasawat and Nutchanat Buasri and Donald Slack},
year = {2026},
journal = {One Health},
doi = {10.1016/j.onehlt.2026.101320},
url = {https://doi.org/10.1016/j.onehlt.2026.101320}
}RIS
TY - JOUR TI - Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand AU - Benjamabhorn Pumhirunroj AU - Patiwat Littidej AU - Thidarut Boonmars AU - Atchara Artchayasawat AU - Nutchanat Buasri AU - Donald Slack PY - 2026 JO - One Health DO - 10.1016/j.onehlt.2026.101320 UR - https://doi.org/10.1016/j.onehlt.2026.101320 ER -
APA
Pumhirunroj, B., Littidej, P., Boonmars, T., Artchayasawat, A., Buasri, N., & Slack, D. (2026). Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand. One Health. https://doi.org/10.1016/j.onehlt.2026.101320
Source records
- crossref · retrieved 2026-09-25T18:18:02.970Z