Anthrax hotspot mapping in Kenya support establishing a sustainable two-phase elimination program targeting less than 6% of the country landmass

Using data collected from previous (n = 86) and prospective (n = 132) anthrax outbreaks, we enhanced prior ecological niche models (ENM) and added kernel density estimation (KDE) approaches to identify anthrax hotspots in Kenya. Local indicators of spatial autocorrelation (LISA) identified clusters...

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Bibliographic Details

Main Authors:	Gachohi, J., Bett, Bernard K., Otieno, Fredrick, Mogoa, E., Njoki, P., Muturi, Mathew, Mwatondo, Athman, Osoro, E., Ngere, I., Dawa, J., Nasimiyu, C., Oyas, H., Njagi, O., Canfield, S., Blackburn, J., Njenga, K.
Format:	Journal Article
Language:	Inglés
Published:	Springer 2022
Subjects:	animal diseases zoonoses anthrax
Online Access:	https://hdl.handle.net/10568/126044