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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.