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GDP ∩ Roa=0.29**. 0.03. 0.24. X3> X1+ X2 Enhance, nonlinear. GDP ∩ Pop=0.07. 0.03. 0.03. X3> X1+ X2 Enhance, nonlinear. GDP ∩ Water=0.25**. 0.03.
Table S1 Number of indigenous cases by gender, age and employment status in Guangzhou 2014

Variables Total cases Gender Male Female Age group (years) 64 Employment status (constituent ratio %) Household/unemployed Retired Business service Worker Student Farmer Administrative staff Other Unknown

Indigenous cases (incidence rate/105) 37322 (289.97) 18388 (273.98) 18934 (307.39) 2693 20024 10111 4494

(189.86) (255.97) (370.79) (497.64)

8717 (23.36) 5221 (13.99) 4436 (11.89) 4194 (11.24) 2788 (7.47) 1356 (3.63)) 1762 (4.72) 1419 (3.80) 7429 (19.90)

Table S2. Interactive impact of socio-ecological factors on dengue fever incidence X1∩X2= X3 GDP ∩ Urb=0.15** GDP ∩ Uv=0.15 GDP ∩ Roa=0.29** GDP ∩ Pop=0.07 GDP ∩ Water=0.25** GDP ∩ Veg=0.24** GDP ∩ Temp=0.35** GDP ∩ Preci 0.26** Urb ∩ Uv=0.19** Urb ∩ Roa=0.31** Urb ∩ Pop=0.13** Urb ∩ Water=0.25** Urb ∩ Veg=0.29 Urb ∩ Temp=0.35** Urb ∩ Preci=0.31** Uv ∩ Roa=0.30** Uv ∩ Pop=0.14** Uv ∩ Water=0.28** Uv ∩ Veg=0.24* Uv ∩ Temp=0.38** Uv ∩ Preci=0.31** Roa ∩ Pop=0.25** Roa ∩ Water=0.35** Roa ∩ Veg=0.33 Roa ∩ Temp=0.41** Roa ∩ Preci=0.40** Pop ∩ Water=0.24**

X1 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.11 0.11 0.11 0.11 0.11 0.11 0.11 0.13 0.13 0.13 0.13 0.13 0.13 0.24 0.24 0.24 0.24 0.24 0.03

X2 0.11 0.13 0.24 0.03 0.23 0.19 0.33 0.24 0.13 0.24 0.03 0.23 0.19 0.33 0.24 0.24 0.03 0.23 0.19 0.33 0.24 0.03 0.23 0.19 0.33 0.24 0.23

Relation among X1, X2, X3 X3> X1+ X2 Enhance, nonlinear X3>Max(X1, X2) Enhance, bi X3> X1+ X2 Enhance, nonlinear X3> X1+ X2 Enhance, nonlinear X3>Max(X1, X2) Enhance, bi X3> X1+ X2 Enhance, nonlinear X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi

1

Pop ∩ Veg=0.21** Pop ∩ Temp=0.34** Pop ∩ Preci=0.28** Water ∩ Veg=0.29** Water ∩ Temp=0.39** Water ∩ Preci=0.40** Veg ∩ Temp=0.34** Veg ∩ Preci=0.33** Temp ∩ Preci=0.42**

0.03 0.03 0.03 0.23 0.23 0.23 0.19 0.19 0.33

0.19 0.33 0.24 0.19 0.33 0.24 0.33 0.24 0.24

X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3> X1+ X2 Enhance, nonlinear X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi X3>Max(X1, X2) Enhance, bi

means P