Spatial predictive model of Anthrax in Kenya using a Bayesian approach

Kenya One Health Conference, 6-8 December 2021

Detalles Bibliográficos
Autor principal: Ndolo, Valentina
Formato: Video
Lenguaje:Inglés
Publicado: International Livestock Research Institute 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/129837
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author Ndolo, Valentina
author_browse Ndolo, Valentina
author_facet Ndolo, Valentina
author_sort Ndolo, Valentina
collection Repository of Agricultural Research Outputs (CGSpace)
description Kenya One Health Conference, 6-8 December 2021
format Video
id CGSpace129837
institution CGIAR Consortium
language Inglés
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher International Livestock Research Institute
publisherStr International Livestock Research Institute
record_format dspace
spelling CGSpace1298372023-12-08T19:36:04Z Spatial predictive model of Anthrax in Kenya using a Bayesian approach Ndolo, Valentina anthrax Kenya One Health Conference, 6-8 December 2021 2021-12 2023-03-31T12:58:40Z 2023-03-31T12:58:40Z Video https://hdl.handle.net/10568/129837 en Open Access International Livestock Research Institute Ndolo, V. 2021. Spatial predictive model of Anthrax in Kenya using a Bayesian approach. Video. Nairobi, Kenya: ILRI.
spellingShingle anthrax
Ndolo, Valentina
Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title_full Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title_fullStr Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title_full_unstemmed Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title_short Spatial predictive model of Anthrax in Kenya using a Bayesian approach
title_sort spatial predictive model of anthrax in kenya using a bayesian approach
topic anthrax
url https://hdl.handle.net/10568/129837
work_keys_str_mv AT ndolovalentina spatialpredictivemodelofanthraxinkenyausingabayesianapproach