Corpus GrippeBelgiqueV4

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Redesigning the serological surveillance program for notifiable avian influenza in Belgian professional poultry holdings.

Identifieur interne : 000074 ( Main/Corpus ); précédent : 000073; suivant : 000075

Redesigning the serological surveillance program for notifiable avian influenza in Belgian professional poultry holdings.

Auteurs : Sarah Welby ; Thierry Van Den Berg ; Sylvie Marché ; Philippe Houdart ; Jozef Hooyberghs ; Koen Mintiens

Source :

RBID : pubmed:20521701

English descriptors

Abstract

This study was aimed at redesigning the Belgian active surveillance program for domestic birds in professional poultry holdings based on a risk analysis approach. A stochastic quantitative analysis, combining all data sources, was run to obtain sensitivity estimates for the detection of an infected bird in the different risk groups identified. An optimal number of holdings for each risk group was then estimated on the basis of the different sensitivities obtained. This study proved to be a useful tool for decision makers, providing insight on how to reallocate the total amount of samples to be taken in the coming year(s) in Belgium, thus optimizing the field resources and improving efficiency of disease surveillance such as required by the international standards.

DOI: 10.1637/8749-033009-Reg.1
PubMed: 20521701

Links to Exploration step

pubmed:20521701

Le document en format XML

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<name sortKey="Welby, Sarah" sort="Welby, Sarah" uniqKey="Welby S" first="Sarah" last="Welby">Sarah Welby</name>
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<nlm:affiliation>Coordination Centre for Veterinary Diagnostics, VAR, Groeselenberg, 99, 1180 Brussels, Belgium. sawel@var.fgov.be</nlm:affiliation>
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<div type="abstract" xml:lang="en">This study was aimed at redesigning the Belgian active surveillance program for domestic birds in professional poultry holdings based on a risk analysis approach. A stochastic quantitative analysis, combining all data sources, was run to obtain sensitivity estimates for the detection of an infected bird in the different risk groups identified. An optimal number of holdings for each risk group was then estimated on the basis of the different sensitivities obtained. This study proved to be a useful tool for decision makers, providing insight on how to reallocate the total amount of samples to be taken in the coming year(s) in Belgium, thus optimizing the field resources and improving efficiency of disease surveillance such as required by the international standards.</div>
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