AfriTickID: An AI-assisted image-based approach for tick species identification in Kenya.

Kioko C, Cheng H, Ekeya J, Wesonga V, Murigu M, Githaka N, Cheng Y, Blanford J

DOI: 10.1016/j.actatropica.2026.108268
Published: 2026 Sep
Container: Acta tropica
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.actatropica.2026.108268,
  title = {AfriTickID: An AI-assisted image-based approach for tick species identification in Kenya.},
  author = {Kioko C and Cheng H and Ekeya J and Wesonga V and Murigu M and Githaka N and Cheng Y and Blanford J},
  year = {2026},
  journal = {Acta tropica},
  doi = {10.1016/j.actatropica.2026.108268},
  url = {https://doi.org/10.1016/j.actatropica.2026.108268}
}

RIS

TY  - JOUR
TI  - AfriTickID: An AI-assisted image-based approach for tick species identification in Kenya.
AU  - Kioko C
AU  - Cheng H
AU  - Ekeya J
AU  - Wesonga V
AU  - Murigu M
AU  - Githaka N
AU  - Cheng Y
AU  - Blanford J
PY  - 2026
JO  - Acta tropica
DO  - 10.1016/j.actatropica.2026.108268
UR  - https://doi.org/10.1016/j.actatropica.2026.108268
ER  -

APA

C, K., H, C., J, E., V, W., M, M., N, G., Y, C., & J, B. (2026). AfriTickID: An AI-assisted image-based approach for tick species identification in Kenya.. Acta tropica. https://doi.org/10.1016/j.actatropica.2026.108268

Source records

pubmed · retrieved 2026-09-26T04:03:53.485Z