Table 3 Hierarchical logistic regression model results, non-spatial, and with a spatially varying intercept.

From: Impact of extractive industries on malaria prevalence in the Democratic Republic of the Congo: a population-based cross-sectional study

 

Random intercept

Spatially varying intercept + random intercept

Malaria odds ratio (95% UI)

DIC

Malaria odds ratio (95% UI)

DIC

Rural

Mining

1.82 (1.35, 2.44)

 

0.93 (0.69, 1.26)

 

Logging

0.71 (0.45, 1.12)

11,384.2

0.97 (0.61, 1.53)

11,362.7

Urban

Mining

0.88 (0.57, 1.37)

 

0.90 (0.54, 1.53)

 

Logging

0.58 (0.30, 1.14)

5851.2

0.63 (0.28, 1.44)

5848.0

  1. All models adjusted for age, sex, LLIN use, temperature, precipitation, vegetation, elevation, and household wealth.
  2. UI uncertainty interval, DIC deviance information criterion.
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