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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.