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Analysis of simultaneous space-time clusters of Campylobacter spp. in humans and in broiler flocks using a multiple dataset approach

Overview of attention for article published in International Journal of Health Geographics, September 2010
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Title
Analysis of simultaneous space-time clusters of Campylobacter spp. in humans and in broiler flocks using a multiple dataset approach
Published in
International Journal of Health Geographics, September 2010
DOI 10.1186/1476-072x-9-48
Pubmed ID
Authors

Malin E Jonsson, Berit Tafjord Heier, Madelaine Norström, Merete Hofshagen

Abstract

Campylobacteriosis is the most frequently reported zoonosis in the EU and the epidemiology of sporadic campylobacteriosis, especially the routes of transmission, is to a great extent unclear. Poultry easily become colonised with Campylobacter spp., being symptom-less intestinal carriers. Earlier it was estimated that internationally between 50% and 80% of the cases could be attributed to chicken as a reservoir. In a Norwegian surveillance programme all broiler flocks under 50 days of age were tested for Campylobacter spp. The aim of the current study was to identify simultaneous local space-time clusters each year from 2002 to 2007 for human cases of campylobacteriosis and for broiler flocks testing positive for Campylobacter spp. using a multivariate spatial scan statistic method. A cluster occurring simultaneously in humans and broilers could indicate the presence of common factors associated with the dissemination of Campylobacter spp. for both humans and broilers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Switzerland 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 13 25%
Student > Postgraduate 5 9%
Student > Bachelor 3 6%
Professor 3 6%
Other 9 17%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 38%
Medicine and Dentistry 5 9%
Immunology and Microbiology 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Mathematics 3 6%
Other 7 13%
Unknown 11 21%