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COST ACTION 920 |
Inventory of QMRA Studies in Europe |
Data sheet
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Pathogen |
Salmonella Enteritidis |
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Country or region |
Denmark |
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Transmission route |
From |
eggs |
To |
consumer |
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Specific product(s) |
eggs |
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End-point(s) |
consumer |
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Reports or publications
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Bibliographic reference |
Unpublished. The assessment is part of a larger, ongoing economic assessment. |
|
Abstract |
In
2002, it was estimated by the Salmonella source account
method, that almost 200 registered human cases of salmonellosis were due to
consumption of Danish produced meat (beef, pork and poultry), while the number
of registered cases due to consumption of contaminated eggs was estimated to be
636. Currently, table egg producing facilities are sampled every 9 weeks, and a
possible improvement could be to reduce the time between sampling rounds.
Based
on a number of assumptions concerning spread of infection and management
factors, the relative effect of changing the sampling frequency from every 9th
to 5th week was simulated. Since Danish table egg producing flocks primarily are
found to be infected with Salmonella Enteritidis, we chose to base our
model on the number and sizes of those flocks from which S. Enteritidis was
isolated in 2002. The
model estimated that the probability finding an infected flock positive is 99%
if tested after the 6th week of infection. The production of infected
table eggs peaks around the 7th week of infection where 6.5% (CI90%:
5.2%-7.8%) of the produced eggs will contain Salmonella. From the 9th week of
infection, approx. 1% of production will be contaminated and this level will be
maintained until slaughter. Sampling every 5 weeks will result in a reduction of contaminated eggs to 65% (CI90%: 41% - 93%) of the level with the current sampling scheme of testing every 9 weeks. |
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Status |
Completed |
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Availability |
from contact person |
Project group
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Institute |
Danish Institute for Food and Veterinary Research |
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Contact person |
Helle Korsgaard (hko@dfvf.dk) |
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Partners |
Lill Andersen, Danish Research Institute of Food Economics |