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

	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)

^∗Significant at P < 0.05, ^∗∗ Significant at P < 0.01.

^†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.