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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.