Abstract：
BACKGROUND:A Q-fever outbreak occurred in an urban area in the south of the Netherlands in May 2008. The distribution and timing of cases suggested a common source. We studied the spatial relationship between the residence locations of human cases and nearby small ruminant farms, of which one dairy goat farm had experienced abortions due to Q-fever since mid April 2008. A generic geographic information system (GIS) was used to develop a method for source detection in the still evolving major epidemic of Q-fever in the Netherlands. METHODS:All notified Q-fever cases in the area were interviewed. Postal codes of cases and of small ruminant farms (size >40 animals) located within 5 kilometres of the cluster area were geo-referenced as point locations in a GIS-model. For each farm, attack rates and relative risks were calculated for 5 concentric zones adding 1 kilometre at a time, using the 5-10 kilometres zone as reference. These data were linked to the results of veterinary investigations. RESULTS:Persons living within 2 kilometres of an affected dairy goat farm (>400 animals) had a much higher risk for Q-fever than those living more than 5 kilometres away (Relative risk 31.1 [95% CI 16.4-59.1]). CONCLUSIONS:The study supported the hypothesis that a single dairy goat farm was the source of the human outbreak. GIS-based attack rate analysis is a promising tool for source detection in outbreaks of human Q-fever.
journal_name
BMC Infect Disjournal_title
BMC infectious diseasesauthors
Schimmer B,Ter Schegget R,Wegdam M,Züchner L,de Bruin A,Schneeberger PM,Veenstra T,Vellema P,van der Hoek Wdoi
10.1186/1471-2334-10-69subject
Has Abstractpub_date
2010-03-16 00:00:00pages
69issn
1471-2334pii
1471-2334-10-69journal_volume
10pub_type
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