Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya.

Muchiri SK, Musau MM, Mwaniki P, Kirimi F, Agutu NO, Okiro EA, Dellicour S, Snow RW

DOI: 10.3389/fitd.2025.1641807
Published: 2025 Oct 6
Container: Frontiers in tropical diseases
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fitd.2025.1641807,
  title = {Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya.},
  author = {Muchiri SK and Musau MM and Mwaniki P and Kirimi F and Agutu NO and Okiro EA and Dellicour S and Snow RW},
  year = {2025},
  journal = {Frontiers in tropical diseases},
  doi = {10.3389/fitd.2025.1641807},
  url = {https://doi.org/10.3389/fitd.2025.1641807}
}

RIS

TY  - JOUR
TI  - Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya.
AU  - Muchiri SK
AU  - Musau MM
AU  - Mwaniki P
AU  - Kirimi F
AU  - Agutu NO
AU  - Okiro EA
AU  - Dellicour S
AU  - Snow RW
PY  - 2025
JO  - Frontiers in tropical diseases
DO  - 10.3389/fitd.2025.1641807
UR  - https://doi.org/10.3389/fitd.2025.1641807
ER  -

APA

SK, M., MM, M., P, M., F, K., NO, A., EA, O., S, D., & RW, S. (2025). Predicting the ecological niches of Aedes aegypti s.l. using maximum entropy in Kenya.. Frontiers in tropical diseases. https://doi.org/10.3389/fitd.2025.1641807

Source records

pubmed · retrieved 2026-09-26T08:03:44.386Z