Table 1 Summary of the results of a multivariable negative binomial regression model for predicting cases with imported malaria
From: Predicting the risk of malaria importation into Jiangsu Province, China: a modeling study
Model | Variable | Coefficient | Z | P | Standard errors | AIC | BIC | θ |
|---|---|---|---|---|---|---|---|---|
Model One | Intercept | 2.731 | 2.062 | 0.039 | 2.068 | 99.755 | 97.033 | 9.96 |
Log of travelers from SSA to Jiangsu Province | 0.616 | 2.178 | 0.029 | 0.454 | ||||
Model Two | Intercept | −9.948 | −2.304 | 0.021 | 4.230 | 96.495 | 94.230 | 14.91 |
Log of Chinese migrant workers stayed abroad from Jiangsu Province | 3.274 | 3.600 | 0.000 | 0.855 |