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Table 4 Parameter estimates of significant variables using negative binomial regressions on Lyme borreliosis infections (1998–2004)

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

  Non-spatial model Spatial model
Parameter Estimate Estimate
Intercept -10.41*** -11.08***
propforest 0.0225*** 0.0254***
income 0.0001*** 0.00004***
housesep 0.0084*** 0.0098***
roedeer 0.0955*** 0.0302
Linear predictors in neigbourhood municipalities   0.3675***
Degrees of freedom 584 583
Null deviance 857.9 916.6
Residual deviance 642.4 642.3
AIC 3220.9 3182.9
2 × log-likelihood -3208.9 -3168.9
  1. *** P-value < 0,0001