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Table 3 Summary results for best non-spatial linear regression model for malaria prevalence

From: Spatially variable risk factors for malaria in a geographically heterogeneous landscape, western Kenya: an explorative study

Variable

Coefficient

Std error

P value

Robust Std error

Robust P value

VIF

Intercept

−0.827

0.059

<0.0001

0.061

<0.0001

–

Outdoor occupation

0.566

0.195

0.005

0.200

0.006

1.16

Highest SES

0.240

0.098

0.017

0.101

0.020

1.55

Population density

−0.004

0.001

<0.0001

0.001

0.001

1.38

Statistic

Value

Joint Wald Statistic

18.75; p = 0.001

Moran’s I

0.45; p = 0.21

Breusch–Pagan statistic

8.86; p = 0.03

Jarque–Bera statistic

4.05; p = 0.13

  1. SES socio economic status, VIF variance inflation factor