Species distribution modeling to predict tsetse fly (Glossina spp.) habitat suitability in Kenya
These findings can help improve the targeting and, hence, the cost-effectiveness of surveillance and ultimately support an evidence-based progressive control of tsetse flies infestation in Kenya.
Authors
- Raphael Mongare (ORCID: https://orcid.org/0000-0003-3236-5840)
- Daniel K. Masiga (ORCID: https://orcid.org/0000-0001-7513-0887)
- Emily Kimathi (ORCID: https://orcid.org/0000-0002-1320-2301)
- Giuliano Cecchi (ORCID: https://orcid.org/0000-0002-6413-7298)
- Nancy Ngari
- Elfatih M. Abdel‐Rahman (ORCID: https://orcid.org/0000-0002-5694-0291)
- Stella Gachoki (ORCID: https://orcid.org/0000-0002-2096-8540)
- Antoine M. G. Barreaux (ORCID: https://orcid.org/0000-0001-5822-761X)
- Elhadi Adam (ORCID: https://orcid.org/0000-0003-3626-5839)
- Seth Onyango
Institutions
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
- Food and Agriculture Organization of the United Nations (IT)
- International Centre of Insect Physiology and Ecology (KE)
- University of the Witwatersrand (ZA)
- Université de Montpellier (FR)
- Pan African Tsetse and Trypanosomiasis Eradication Campaign (BF)
- Institut de Recherche pour le Développement (FR)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- Parasites & Vectors
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s13071-025-06938-1
- Citations
- 4
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 7.35
Funders
- Styrelsen för Internationellt Utvecklingssamarbete
- Government of the Republic of Kenya
- European Commission
- Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung
- Australian Centre for International Agricultural Research