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Table 3 Model results of 2015 dengue epidemic using the matrix of population mobility as spatial weights

From: Evaluating neighborhood structures for modeling intercity diffusion of large-scale dengue epidemics

Independent variables Model 1 Model 2 Model 3
Intercept − 3.08***(0.90) − 1.56(0.81) − 0.53(0.92)
Spatial-lag of dengue incidence
 1st order neighbors in pre-epidemic period ρt1 0.50***(0.09) 0.27*(0.08) − 0.007(0.16)
 1st order neighbors in epidemic period ρt2 0.47***(0.08) 0.467***(0.08)
 2nd order neighbors in pre-epidemic period γt1 0.40*(0.19)
Urbanization levelsa
 Rural area β1 − 0.11(0.25) − 0.10(0.21) − 0.14(0.20)
 Aging society area β2 − 0.37(0.30) − 0.45(0.25) − 0.53(0.25)
 General area β3 0.42(0.24) 0.40(0.21) 0.33(0.20)
 Newly developed area β4 1.34***(0.26) 0.77**(0.24) 0.66*(0.24)
 Medium-density urban area β5 1.94***(0.32) 1.31***(0.29) 1.21***(0.29)
 High-density urban area β6 2.47***(0.33) 1.44***(0.33) 1.36***(0.32)
Performance of model fitting
 AIC 259.25 239.52 237.17
 R-square 0.708
  1. The value in parentheses is standard error
  2. *p value < 0.05; **p value < 0.01; ***p value < 0.001
  3. a“Remote area” as reference category