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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2018-01-01
Series:Parasites & Vectors
Subjects:
Ascaris lumbricoides
Hookworms
Gradient boosted model
Maxent
Species distribution
Soil-transmitted helminths
Online Access:http://link.springer.com/article/10.1186/s13071-017-2586-6

Internet

http://link.springer.com/article/10.1186/s13071-017-2586-6

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