Spatial analytics to elucidate the incubation period and drivers of visceral leishmaniasis: case of Turkana County in Kenya
These data-driven findings can improve the understanding of VL risk dynamics and support decision makers in the preparation, mitigation, and elimination of VL.
Authors
- Kennedy Senagi (ORCID: https://orcid.org/0000-0002-0757-3907)
- Evans Omondi
- David P. Tchouassi (ORCID: https://orcid.org/0000-0001-9910-4704)
- Daniel K. Masiga (ORCID: https://orcid.org/0000-0001-7513-0887)
- Joseph Mathu Ndung’u (ORCID: https://orcid.org/0000-0002-0022-6777)
- Elfatih M. Abdel‐Rahman (ORCID: https://orcid.org/0000-0002-5694-0291)
- Emmanuel Okunga (ORCID: https://orcid.org/0000-0001-8412-6820)
- Damaris Matoke-Muhia (ORCID: https://orcid.org/0000-0001-7737-8069)
- Tobias Landmann (ORCID: https://orcid.org/0000-0001-6512-5806)
- Dawn Maranga (ORCID: https://orcid.org/0000-0002-4792-1785)
- Maureen Nzilani
- Barrington Gesimba
Institutions
- FIND (CH)
- Strathmore University (KE)
- International Centre of Insect Physiology and Ecology (KE)
- Kenya Medical Research Institute (KE)
- Ministry of Health (KE)
- African Population and Health Research Center (KE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-10-10
- DOI
- https://doi.org/10.3389/fdgth.2025.1643314
- Primary Topic
- Research on Leishmaniasis Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00