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http://hdl.handle.net/1942/27522
Title: | Feasibility of applying syndrome surveillance algorithms to animal health and production data to improve emerging animal disease surveillance | Authors: | Mintiens, K. LITIERE, Saskia FAES, Christel Houdart, Ph. AERTS, Marc Vose, D. |
Issue Date: | 2011 | Publisher: | AEEMA-ASSOC L ETUDE L EPIDEMIOLOGIE MALADIES ANIMALES | Source: | EPIDEMIOLOGIE ET SANTE ANIMALE, NO 59-60, AEEMA-ASSOC L ETUDE L EPIDEMIOLOGIE MALADIES ANIMALES,p. 171-173 | Series/Report: | Revue Epidemiologie et Sante Animale | Abstract: | This paper presents the results of a feasibility study on applying syndrome surveillance algorithms to animal health and production data to enhance early detection of emerging animal diseases. The case of the introduction of bluetongue virus serotype 8 in Northern Europe in 2006 was investigated while looking at historical mortality data that collected on a daily bases by the rendering plant. Several candidate algorithms were identified from literature and applied to the data. This study shows that it is technically feasible to apply existing syndrome surveillance algorithms to animal health and production data. The application of syndrome surveillance methodology on animal disease and production data needs further investigation to clearly assess their sensitivity and specificity. | Notes: | [Mintiens, K.; Vose, D.] Vose Software Bvba, Iepenstr 98, B-9000 Ghent, Belgium. [Litiere, S.; Faes, C.; Aerts, M.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Houdart, Ph] Fed Agcy Safety Food Chain, B-1000 Brussels, Belgium. | Keywords: | syndrome surveillance; emerging diseases; early detection; stat | Document URI: | http://hdl.handle.net/1942/27522 | ISBN: | 9782840390770 | ISI #: | 000394827200060 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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