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 | – | – |