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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2016-11-01
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| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/434 |