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 | – | – |