Inclusion of edaphic predictors for enhancement of models to determine distribution of soil-transmitted helminths: the case of Zimbabwe

Abstract Background Reliable mapping of soil-transmitted helminth (STH) parasites requires rigorous statistical and machine learning algorithms capable of integrating the combined influence of several determinants to predict distributions. This study tested whether combining edaphic predictors with...

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Detalhes bibliográficos

Principais autores:	Nicholas Midzi, Blessing Kavhu, Portia Manangazira, Isaac Phiri, Susan L. Mutambu, Cremants Tshuma, Moses J. Chimbari, Shungu Munyati, Stanely M. Midzi, Lincon Charimari, Anatoria Ncube, Masceline J. Mutsaka-Makuvaza, White Soko, Emmanuel Madzima, Gibson Hlerema, Joel Mbedzi, Gibson Mhlanga, Mhosisi Masocha
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2018-01-01
coleção:	Parasites & Vectors
Assuntos:	Ascaris lumbricoides Hookworms Gradient boosted model Maxent Species distribution Soil-transmitted helminths
Acesso em linha:	http://link.springer.com/article/10.1186/s13071-017-2586-6
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