Table 1 Descriptive statistics.

From: Exploring agricultural land-use and childhood malaria associations in sub-Saharan Africa

 

Malaria (-ve)

Malaria (+ ve)

Socioeconomic variables

Total sample (n) (%)

18,712 (77.85%)

5322 (22.14%)

Age (years) (VIF = 1.03)

 Mean

2.35

2.52

 SD

1.49

1.39

Cluster type (n) (%) (VIF = 1.39)

 Urban

7500 (40.08%)

1126 (21.16%)

 Rural

11,212 (59.92%)

4196 (78.84%)

Country (n) (%)

 Angola

1176 (6.28%)

184 (3.46%)

 Burkina Faso

417 (2.23%)

843 (15.84%)

 Benin

958 (5.12%)

260 (4.89%)

 Burundi

1800 (9.62%)

227 (4.27%)

 Cote D’Ivoire

637 (3.40%)

407 (7.65%)

 Ghana

344 (1.84%)

273 (5.13%)

 Guinea

391 (2.09%)

167 (3.14%)

 Mali

900 (4.81%)

466 (8.76%)

 Mozambique

1261 (6.74%)

634 (11.91%)

 Nigeria

1901 (10.16%)

1448 (27.21%)

 Senegal

5906 (31.56%)

129 (2.42%)

 Tanzania

3021 (16.14%)

284 (5.34%)

Dwelling sprayed in last 12 months (n) (%) (VIF = 1.02)

 Yes

16,980 (90.74%)

5034 (94.59%)

 No

1732 (9.26%)

288 (5.41%)

Mothers education (n) (%) (VIF = 1.02)

 No education

18,514 (98.94%)

5283 (99.27%)

 Primary

196 (1.05%)

38 (0.71%)

 Secondary and Higher

2 (0.01%)

10.02%)

Population density ((number of persons per km2) (VIF = 1.34)

 Mean

858.94

303.67

 SD

2106.17

867.49

Sanitation (n) (%) (VIF = 1.79)

 Improved

11,355 (60.68%)

2417 (45.42%)

 Unimproved

7357 (39.31%)

2905 (54.58%)

Sex (n) (%) (VIF = 1.00)

 Female

9461 (50.56%)

2743 (51.54%)

 Male

9251 (49.43%)

2579 (48.46%)

Used a bed net (n) (%) (VIF = 1.02)

 Did not use a bed net

7501 (40.09%)

2273 (42.71%)

 Some children used a bed net

2152 (11.50%)

663 (12.46%)

 All children used a bed net

9059 (48.41%)

2386 (44.83%)

Wealth index (n) (%) (VIF = 1.42)

 1 = Poorest

3390 (18.12%)

1386 (26.04%)

 2 = Poorer

3519 (18.81%)

1309 (24.60%)

 3 = Middle

3739 (19.98%)

1244 (23.37%)

 4 = Richer

4097 (21.90%)

903 (16.97%)

 5 = Richest

3967 (21.20%)

480 (9.02%)

Water source (n) (%) (VIF = 1.92)

 Improved

9359 (50.02%)

1063 (19.97%)

 Unimproved

9353 (49.98%)

4259 (80.03%)

Year (n) (%) (VIF = 1.09)

 2010

1578 (8.43%)

1407 (26.44%)

 2011

2087 (11.15%)

683 (12.83%)

 2012

4641 (24.80%)

1340 (25.18%)

 2013

1549 (8.28%)

215 (4.04%)

 2014

1966 (10.51%)

296 (5.56%)

 2015

6891 (36.83%)

1381 (25.95%)

Environmental variables

Elevation (m) (VIF = 1.58)

 Mean

453.54

392.50

 SD

595.10

367.20

Forest loss (%) (VIF = 1.16)

 Mean

0.15

0.18

 SD

0.36

0.43

Mean temperature (°C) (VIF = 1.48)

 Mean

24.93

25.33

 SD

3.47

2.59

Precipitation (mm) (VIF = 1.13)

 Mean

77.57

86.09

 SD

91.77

98.48

Agricultural land use variables

Crop-dominated mosaics (%) (VIF = 1.16)

 Mean

5.96

7.31

 SD

9.22

9.19

Forest cover (%) (VIF = 1.38)

 Mean

12.84

16.41

 SD

13.42

16.25

Irrigated/post-flooding cropland (%) (VIF = 1.10)

 Mean

2.53

2.77

 SD

9.37

11.46

Rainfed cropland (%) (VIF = 1.15)

 Mean

26.29

35.17

 SD

27.84

30.53

Veg-dominated mosaics (%) (VIF = 1.22)

 Mean

3.57

5.93

 SD

6.52

9.49

  1. Descriptive statistics of all variables included in the geo-referenced dataset. VIF denotes Variance Inflation Factor.