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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Detalles Bibliográficos
Autores principales: Gachohi, John, Bett, Bernard, Otieno, Fredrick, Mogoa, Eddy, Njoki, Peris, Muturi, Mathew, Mwatondo, Athman, Osoro, Eric, Ngere, Isaac, Dawa, Jeanette, Nasimiyu, Carolyne, Oyas, Harry, Njagi, Obadiah, Canfield, Samuel, Blackburn, Jason, Njenga, Kariuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755300/
https://www.ncbi.nlm.nih.gov/pubmed/36522381
http://dx.doi.org/10.1038/s41598-022-24000-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755300/
https://www.ncbi.nlm.nih.gov/pubmed/36522381
http://dx.doi.org/10.1038/s41598-022-24000-3

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