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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