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

Abstract 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...

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Bibliographic Details
Main Authors: John Gachohi, Bernard Bett, Fredrick Otieno, Eddy Mogoa, Peris Njoki, Mathew Muturi, Athman Mwatondo, Eric Osoro, Isaac Ngere, Jeanette Dawa, Carolyne Nasimiyu, Harry Oyas, Obadiah Njagi, Samuel Canfield, Jason Blackburn, Kariuki Njenga
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-24000-3