Fig 1.
Location of CL actual reported case occurrences illustrated by brown dots, according to different South American northern biomes (Global 200 ecoregions, http://www.worldwildlife.org [44]), and the administrative borders.
Final map produced with ArcGis 10.4.
Table 1.
Bioclimatic, environmental and anthropogenic variables used for the different geographical models.
Table 2.
Creation of HFP classes and methods of distribution of the occurrence points in the exclusion and distribution buffers for the Amazonian and French Guiana models.
The size indicates the radii of buffers in kilometres.
Fig 2.
Response curve of cutaneous leishmaniasis probability of occurrence for the four most contributing variables in Amazonia with population density (a), human footprint (b), Bioclim 4 (c), mammal richness (d) and aboveground biomass (e).
Fig 3.
Risk map for the Amazonian model.
The risk area prediction maps are calculated using the Habitat Suitability Index (HSI) calculated between 0 and 1. Increasing suitability follows a gradient from colder to warmer colours. Cases of CL are represented by brown dots. Map made with ArcMap 10.4.
Fig 4.
Response curve of disease occurrence for the four variables contributing most in French Guiana with HFP (a), Bioclim 16 (b), Bioclim 2 (c) and distance to relief of at least 500 m (d).
Fig 5.
Risk map for the French Guiana model.
Increasing suitability follows a gradient from colder to warmer colours. Cases of CL are represented in brown. Map made with ArcMap 10.4.