Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

Malaria is an environmentally driven disease. In order to quantify the spatial variability of malaria transmission, it is imperative to understand the interactions between environmental variables and malaria epidemiology at a micro-geographic level using a novel statistical approach. The random fore...

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Bibliographic Details
Main Authors:	Thandi Kapwata, Michael T. Gebreslasie
Format:	Article
Language:	English
Published:	PAGEPress Publications 2016-11-01
Series:	Geospatial Health
Subjects:	Random forest Modelling malaria transmission South Africa
Online Access:	http://www.geospatialhealth.net/index.php/gh/article/view/434

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