Risk attribution of Campylobacter infection by age group using exposure modelling

Buettner, S.; Wieland, B.; Staerk, K. D. C.; Regula, G. (2010). Risk attribution of Campylobacter infection by age group using exposure modelling. Epidemiology and infection, 138(12), pp. 1748-1761. Cambridge: Cambridge University Press 10.1017/S095026881000155X

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Knowledge on the relative importance of alternative sources of human campylobacteriosis is important in order to implement effective disease prevention measures. The objective of this study was to assess the relative importance of three key exposure pathways (travelling abroad, poultry meat, pet contact) for different patient age groups in Switzerland. With a stochastic exposure model data on Campylobacter incidence for the years 2002-2007 were linked with data for the three exposure pathways and the results of a case-control study. Mean values for the population attributable fractions (PAF) over all age groups and years were 27% (95% CI 17-39) for poultry consumption, 27% (95% CI 22-32) for travelling abroad, 8% (95% CI 6-9) for pet contact and 39% (95% CI 25-50) for other risk factors. This model provided robust results when using data available for Switzerland, but the uncertainties remained high. The output of the model could be improved if more accurate input data are available to estimate the infection rate per exposure. In particular, the relatively high proportion of cases attributed to 'other risk factors' requires further attention.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute

UniBE Contributor:

Stärk, Katharina and Schüpbach, Gertraud

Subjects:

600 Technology > 630 Agriculture

ISSN:

0950-2688

Publisher:

Cambridge University Press

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:36

Last Modified:

22 Oct 2019 21:20

Publisher DOI:

10.1017/S095026881000155X

PubMed ID:

20598208

Web of Science ID:

000284011900010

BORIS DOI:

10.7892/boris.14368

URI:

https://boris.unibe.ch/id/eprint/14368 (FactScience: 221331)

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