Environmental and demographic risk factors for campylobacteriosis: do various geographical scales tell the same story?

Table 5 Cluster and clustering in residuals

	Smallest	Munici-pality	Census consolidated subdivision	Agri-culture	CLSC	Census division	Water-shed
	(n=1119)	(n=1063)	(n=903)	(n=319)	(n=155)	(n=97)	(n=71)
Cluster (scan test)
Principal cluster
Mean^a inside	79.97	74.57	77.99	None	10.37	12.35	None
Mean^a outside	−0.22	−0.14	−0.091		−2.49	−2.6
Number of units	3	3	2		29	17
Area (km²)	219	219	203		42993	40052
Location^c	A	A	A		B	B
P-value	<0.01	<0.01	0.04		<0.01	0.02
Clustering
Moran’s
Neighbors (km)^b	27	29	19	30	18	15	34
Estimate	−0.06	−0.02	−0.11	−0.06	−0.02	0.09	0.02
P-value	0.99	0.98	0.99	0.90	0.63	0.34	0.42

Regression coefficients (standard errors) of conditional autoregressive models predicting the annual incidence of campylobacteriosis per 100,000 people in Quebec, Canada, 1996–2006.
^a Mean of residuals.
^b Pairs of units with population centers within this distance were considered neighbors.
^c A similar letter indicates a similar location for the cluster. See Figure 1 for an indication of the exact cluster location.

ISSN: 1471-2334