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Table 3 Parameter estimates with 95% confidence interval (in parentheses) for the association of mosquito density (per trap/house) with climatic variables based on univariable Poisson regression models at different lag points in time

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

 

IRR‡(95% CI)

Climatic variables

Current month

One month lag

Two months lag

Three months lag

Rainfall(mm)

1.550 ∗(1.443, 1.665)

1.567 ∗(1.433, 1.715)

1.407 ∗(1.264, 1.566)

1.226(1.127, 1.334)

Relative humidity(%)

1.095 ∗∗(1.069, 1.122)

1.091 ∗∗(1.062, 1.121)

1.060 ∗ (1.034, 1.085)

1.027(1.013, 1.041)

Minimum temperature(oC)

1.525 ∗∗(1.320, 1.761)

1.900 ∗∗(1.454, 2.474)

2.138 ∗∗(1.599, 2.860)

1.853 ∗∗(1.494, 2.298)

Maximum temperature(oC)

0.580 ∗(0.474, 0.709)

0.644 ∗(0.527, 0.788)

0.788 ∗(0.635, 0.977)

1.033(0.940, 1.135)

  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.