Table 2 Summary of the generalized linear model showing the variables that were associated with rodent proliferation in the Bahamas.

From: Systematic surveillance tools to reduce rodent pests in disadvantaged urban areas can empower communities and improve public health

Predictors

Signs of household rodent infestation

Odds ratios

CI

P

(Intercept)

0.09

0.04–0.19

 < 0.001

Area [2]

0.55

0.20–1.50

0.192

Area [3]

0.36

0.13–1.00

0.047

Area [4]

0.27

0.08–0.84

0.021

Area [5]

0.71

0.34–2.91

0.532

Area [6]

0.99

0.31–2.64

0.855

Area [7]

0.07

0.02–0.28

< 0.001

Residence with unapproved refuse storage [Yes]

2.29

1.22–4.27

0.008

Residence with exposed garbage [Yes]

2.31

1.20–4.45

0.016

Residence with source of animal food [Yes]

2.30

1.11–4.17

0.021

Residence with other sources of food [Yes]

1.76

0.89–3.53

0.096

Residence with bulk wastes [Yes]

2.06

1.00–4.21

0.045

Residence with construction materials [Yes]

2.06

1.04–4.07

0.047

Residence with structural deficiencies [Yes]

3.09

1.52–6.25

0.001

Observations

457

R2 Tjur

0.358

  1. Significant values are in bold.