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Table 2 Model estimates of the effects of weather and socioeconomic variables on dengue

From: Climate change and the emergence of vector-borne diseases in Europe: case study of dengue fever

Smooth terms edf F
s(Tmin averaged over previous 2 months) 3.95 68.05†††
s(Tmax averaged over previous 2 months) 3.28 32.91†††
s(Humidity averaged over previous 2 months) 3.94 127.80†††
s(Precipitation total over previous 2 months) 2.85 16.90†††
Linear terms Estimate SE
Intercept -15.52 0.48
Population density -0.0028 0.0004†††
Urbanisation 0.026 0.002†††
GDP -0.0041 0.007
Log Population 2.54 0.070†††
Explained deviance 44.2%  
GCV score 124.8  
  1. †††Significant at the 0.0001 level.
  2. edf = effective degrees of freedom of the smooth function terms (edf >1 indicate nonlinear relationships); F value is an approximate F-test, SE = asymptotic standard error. GCV = Generalized Cross Validation.