Redesigning the serological surveillance program for notifiable avian influenza in Belgian professional poultry holdings.
Identifieur interne : 000074 ( Main/Corpus ); précédent : 000073; suivant : 000075Redesigning 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 MintiensSource :
- Avian diseases [ 0005-2086 ] ; 2010.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Belgium.
- epidemiology : Influenza in Birds.
- methods : Communicable Disease Control.
- organization & administration : Communicable Disease Control.
- Agriculture, Animals, Disease Notification, National Health Programs, Poultry, Seroepidemiologic Studies.
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:20521701Le document en format XML
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<author><name sortKey="Welby, Sarah" sort="Welby, Sarah" uniqKey="Welby S" first="Sarah" last="Welby">Sarah Welby</name>
<affiliation><nlm:affiliation>Coordination Centre for Veterinary Diagnostics, VAR, Groeselenberg, 99, 1180 Brussels, Belgium. sawel@var.fgov.be</nlm:affiliation>
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<author><name sortKey="Van Den Berg, Thierry" sort="Van Den Berg, Thierry" uniqKey="Van Den Berg T" first="Thierry" last="Van Den Berg">Thierry Van Den Berg</name>
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<author><name sortKey="Marche, Sylvie" sort="Marche, Sylvie" uniqKey="Marche S" first="Sylvie" last="Marché">Sylvie Marché</name>
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<author><name sortKey="Houdart, Philippe" sort="Houdart, Philippe" uniqKey="Houdart P" first="Philippe" last="Houdart">Philippe Houdart</name>
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<author><name sortKey="Hooyberghs, Jozef" sort="Hooyberghs, Jozef" uniqKey="Hooyberghs J" first="Jozef" last="Hooyberghs">Jozef Hooyberghs</name>
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<author><name sortKey="Mintiens, Koen" sort="Mintiens, Koen" uniqKey="Mintiens K" first="Koen" last="Mintiens">Koen Mintiens</name>
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<author><name sortKey="Van Den Berg, Thierry" sort="Van Den Berg, Thierry" uniqKey="Van Den Berg T" first="Thierry" last="Van Den Berg">Thierry Van Den Berg</name>
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<author><name sortKey="Hooyberghs, Jozef" sort="Hooyberghs, Jozef" uniqKey="Hooyberghs J" first="Jozef" last="Hooyberghs">Jozef Hooyberghs</name>
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<author><name sortKey="Mintiens, Koen" sort="Mintiens, Koen" uniqKey="Mintiens K" first="Koen" last="Mintiens">Koen Mintiens</name>
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<series><title level="j">Avian diseases</title>
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<term>Disease Notification</term>
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<front><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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<Abstract><AbstractText>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.</AbstractText>
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