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Table 3 Parameter estimates of significant variables using negative binomial regressions on PUUV infections (1994–2004)

From: Determinants of the geographic distribution of Puumala virus and Lyme borreliosis infections in Belgium

  Non-spatial model Spatial model
Parameter Estimate Estimate
Intercept -7.982*** -9.308***
propleaf 0.0915*** 0.0469***
income -0.0001*** -0.00006**
urbanisation -0.192*** -0.246**
hunting 189.6* 152.0***
Linear predictors in neigbourhood municipalities   0.5491***
Degrees of freedom 584 583
Null deviance 1167.8 1311.9
Residual deviance 474.9 484.3
AIC 1418.3 1389.4
2 × log-likelihood -1406.3 -1375.4
  1. *** P-value < 0,0001; ** P-value < 0,01; * P-value < 0,1