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Table 2 Parameter estimates with 95% confidence interval (in parentheses) for the association of mosquito density (per trap/house) with different covariates based on univariable and multivariable Poisson regression models

From: The effect of dams and seasons on malaria incidence and anopheles abundance in Ethiopia

Covariates

Univariable model

Multivariable models

  

IRR‡(95% CI)

Adjusted IRR (95% CI)

Distance

 

0.721 ∗∗(0.581, 0.894)

0.779 ∗(0.626, 0.969)

0.734 ∗∗(0.585, 0.920)

Year

Year 1(ref)

1.000

1.000

1.000

 

Year 2

0.486 ∗(0.266, 0.886)

0.704(0.373, 1.327)

0.761(0.410, 1.415)

Climatic variables

Rainfall

1.550 ∗∗(0.443, 1.665)

1.091(0.975, 1.222)

 
 

Relative humidity

1.095 ∗∗(1.069, 1.122)

1.046(0.982, 1.114)

 
 

Maximum temperature

0.580 ∗∗(0.474, 0.70)

1.102(0.651, 1.865)

 
 

Minimum temperature

1.525 ∗∗(1.320, 1.761)

0.940(0.827, 1.067)

 

Season

Dry season(ref)

1.000

1.000

1.000

 

Long rainy season

27.121 ∗∗(12.238, 60.106)

9.020 ∗∗(3.235, 25.147)

21.048 ∗∗(8.549, 51.821)

 

Short rainy season

5.508 ∗∗(2.802, 10.829)

2.484 ∗(1.087, 5.675)

3.720 ∗∗(1.789, 7.733)

  1. ∗Significant at P < 0.05, ∗∗ Significant at P < 0.01.
  2. †Incidence Rate Ratio (IRR): is obtained by exponentiating the Poisson regression coefficient and it is a ratio based on the rate or incidence of counts.