Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.
- DOI
- 10.1016/j.onehlt.2021.100358
- Published
- 2021 Dec
- Container
- One health (Amsterdam, Netherlands)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.onehlt.2021.100358,
title = {Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.},
author = {Rahman MS and Pientong C and Zafar S and Ekalaksananan T and Paul RE and Haque U and Rocklöv J and Overgaard HJ},
year = {2021},
journal = {One health (Amsterdam, Netherlands)},
doi = {10.1016/j.onehlt.2021.100358},
url = {https://doi.org/10.1016/j.onehlt.2021.100358}
}RIS
TY - JOUR TI - Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach. AU - Rahman MS AU - Pientong C AU - Zafar S AU - Ekalaksananan T AU - Paul RE AU - Haque U AU - Rocklöv J AU - Overgaard HJ PY - 2021 JO - One health (Amsterdam, Netherlands) DO - 10.1016/j.onehlt.2021.100358 UR - https://doi.org/10.1016/j.onehlt.2021.100358 ER -
APA
MS, R., C, P., S, Z., T, E., RE, P., U, H., J, R., & HJ, O. (2021). Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.. One health (Amsterdam, Netherlands). https://doi.org/10.1016/j.onehlt.2021.100358
Source records
- pubmed · retrieved 2026-09-25T07:28:39.934Z