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Table 3 Negative binomial regression model of meteorological factors associated with risk of clonorchiasis incidence*

From: Correlation between clonorchiasis incidences and climatic factors in Guangzhou, China

  B S.E. P (eβ - 1) = percent increase (%) 95% CI for percent increase (%)
      Lower boundary Upper boundary
(A)       
(Intercept) -278.46 12.18 <0.001 - - -
Average temperature 0.01 0.00 <0.001 1.37 0.86 1.87
Average relative humidity -0.02 0.00 <0.001 -1.69 -2.04 -1.34
Average wind velocity -0.03 0.02 0.05 -3.19 -6.29 0.01
Aggregate rainfall 0.00 0.00 <0.001 0.02 0.01 0.04
Aggregate sunshine 0.00 0.00 0.13 -0.04 -0.09 0.01
Year 0.14 0.01 <0.001 15.23 13.86 16.62
(B)       
(Intercept) -257.01 11.62 <0.001 - - -
Average atmospheric pressure 0.00 0.00 0.06 -0.48 -0.97 0.02
Average relative humidity -0.01 0.00 <0.001 -1.37 -1.77 -0.97
Average wind velocity -0.06 0.02 0.06 -6.03 -8.91 0.02
Aggregate rainfall 0.00 0.00 <0.001 0.03 0.02 0.05
Aggregate sunshine 0.00 0.00 0.22 0.03 -0.02 0.08
Year 0.13 0.01 <0.001 14.28 12.97 15.61
(C)       
(Intercept) -255.90 8.69 <0.001 - - -
Average temperature 0.01 0.00 <0.001 1.18 0.88 1.48
Average relative humidity -0.02 0.00 <0.001 -1.51 -1.75 -1.27
Aggregate rainfall 0.00 0.00 <0.001 0.03 0.01 0.04
Year 0.13 0.00 <0.001 13.94 12.97 14.91
  1. Note. *Negative binomial regression model for monthly clonorchiasis incidence without atmospheric pressure (A) and without average temperature (B). Final models (C).
  2. CI, Confidence Interval.