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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