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Table 2 Model results of 2014 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 1.527(0.79) 1.149(0.69) 3.039***(0.75)
Spatial-lag of dengue incidence
 1st order neighbors in pre-epidemic period ρt1 1.107***(0.08) 0.671***(0.11) − 0.002(0.17)
 1st order neighbors in epidemic period ρt2 0.428***(0.09) 0.306**(0.10)
 2nd order neighbors in pre-epidemic period γt1 1.001***(0.20)
Urbanization levelsa
 Rural area β1 − 0.229(0.24) − 0.099(0.21) 0.015(0.198)
 Aging society area β2 0.641*(0.31) 0.569*(0.27) 0.384(0.25)
 General area β3 0.236(0.24) 0.26(0.21) 0.465*(0.20)
 Newly developed area β4 0.964***(0.24) 0.647**(0.22) 0.771***(0.20)
 Medium-density urban area β5 0.791*(0.30) 0.595*(0.27) 0.639*(0.24)
 High-density urban area β6 0.521(0.33) 0.313(0.29) 0.456(0.27)
Performance of model fitting
 AIC 259.54 247.11 226.01
 R-square 0.72
  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