Schimmer, Barbara;
ter Schegget, Ronald;
Wegdam, Marjolijn;
Züchner, Lothar;
de Bruin, Arnout;
Schneeberger, Peter M;
Veenstra, Thijs;
Vellema, Piet;
van der Hoek, Wim
The use of a geographic information system to identify a dairy goat farm as the most likely source of an urban Q-fever outbreak
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Medientyp:
E-Artikel
Titel:
The use of a geographic information system to identify a dairy goat farm as the most likely source of an urban Q-fever outbreak
Beteiligte:
Schimmer, Barbara;
ter Schegget, Ronald;
Wegdam, Marjolijn;
Züchner, Lothar;
de Bruin, Arnout;
Schneeberger, Peter M;
Veenstra, Thijs;
Vellema, Piet;
van der Hoek, Wim
Erschienen:
Springer Science and Business Media LLC, 2010
Erschienen in:BMC Infectious Diseases
Sprache:
Englisch
DOI:
10.1186/1471-2334-10-69
ISSN:
1471-2334
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title>
<jats:sec>
<jats:title>Background</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Methods</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>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]).</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>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.</jats:p>
</jats:sec>