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Table 1 Linear correlations between initial environmental variables and P. vivax and P. falciparum incidences.

From: Studying relationships between environment and malaria incidence in Camopi (French Guiana) through the objective selection of buffer-based landscape characterisations

 

P. vivax

P. falciparum#

Variable

Pearson r

P value

Pearson r

P value

% bare soil#

-0.17

0.381

-0.69

< 0.001**

% secondary forest

0,00

0.999

-0.03

0.891

% primary forest

0.08

0.688

0.54

0.003**

% deep water

0.28

0.149

-0.39

0.043*

% burned land#

-0.24

0.218

-0.43

0.022*

% low vegetation

-0.09

0.665

0.06

0.761

% medium vegetation#

-0.05

0.783

0.24

0.227

% high vegetation

0.17

0.396

0.68

< 0.001**

% river banks/shallow water#

0.30

0.124

-0.24

0.212

No. of inhabited dwellings#

-0.30

0.116

-0.60

0.001**

Length of river banks#

0.32

0.097

-0.44

0.018*

Length of creeks#

-0.06

0.771

0.48

0.01*

Landscape divison 1

0.46

0.013*

-0.10

0.601

Landscape divison 2

0.49

0.008**

0.48

0.009**

  1. We used buffers with radii of 100 m and 400 m for P. vivax and P. falciparum incidences, respectively. Symbols * and ** correspond to statistical significance at the 0.05 and 0.01 (alpha risks) levels, respectively. Significant correlation coefficients are shown in bold. Landscape division 2 was computed by considering all land-cover classes other than unfragmented forest. The symbol # identifies variables that have been transformed (square-root transformation).