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Original Research Articles

Spatial analysis of positive and negative Q fever laboratory results for identifying high- and low-risk areas of infection in the Netherlands

, MSc, , MSc, , MD, PhD, , MD & , MD, PhD
Article: 20432 | Received 16 Jan 2013, Accepted 25 Oct 2013, Published online: 28 Nov 2013

Figures & data

Fig. 1 Incidence (×100,000 population) of Q fever laboratory tests (n =11,035) with locations of all small ruminant farms with ≥50 animals in the south of the Netherlands by four-digit postal code area. Data from patients testing positive in 2009 and 2010, and patients testing negative in 2010 at the laboratories in 's-Hertogenbosch (H) and Veldhoven (V).

Fig. 1 Incidence (×100,000 population) of Q fever laboratory tests (n =11,035) with locations of all small ruminant farms with ≥50 animals in the south of the Netherlands by four-digit postal code area. Data from patients testing positive in 2009 and 2010, and patients testing negative in 2010 at the laboratories in 's-Hertogenbosch (H) and Veldhoven (V).

Fig. 2 Proportion of positive test results based on the same data as in with locations of infected goat farms.

Fig. 2 Proportion of positive test results based on the same data as in Fig. 1 with locations of infected goat farms.

Table 1 Characteristics of individuals with a positive or negative laboratory test result

Table 2 Multivariate logistic regression analysis of risk factors associated with testing positive for Q fever

Fig. 3 Proportion of patients testing positive for Q fever against mean distance from nearest infected dairy goat farm, per four-digit postal code area (n=262 postal codes areas).

Fig. 3 Proportion of patients testing positive for Q fever against mean distance from nearest infected dairy goat farm, per four-digit postal code area (n=262 postal codes areas).