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http://hdl.handle.net/1942/27522
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DC Field | Value | Language |
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dc.contributor.author | Mintiens, K. | - |
dc.contributor.author | LITIERE, Saskia | - |
dc.contributor.author | FAES, Christel | - |
dc.contributor.author | Houdart, Ph. | - |
dc.contributor.author | AERTS, Marc | - |
dc.contributor.author | Vose, D. | - |
dc.date.accessioned | 2018-12-18T14:25:41Z | - |
dc.date.available | 2018-12-18T14:25:41Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | EPIDEMIOLOGIE ET SANTE ANIMALE, NO 59-60, AEEMA-ASSOC L ETUDE L EPIDEMIOLOGIE MALADIES ANIMALES,p. 171-173 | - |
dc.identifier.isbn | 9782840390770 | - |
dc.identifier.issn | 0754-2186 | - |
dc.identifier.uri | http://hdl.handle.net/1942/27522 | - |
dc.description.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. | - |
dc.description.sponsorship | Flemish Agency for Innovation by Science and Technology project 'Study of existing applications of detection algorithms for syndrome data' [IWT 090314] | - |
dc.language.iso | en | - |
dc.publisher | AEEMA-ASSOC L ETUDE L EPIDEMIOLOGIE MALADIES ANIMALES | - |
dc.relation.ispartofseries | Revue Epidemiologie et Sante Animale | - |
dc.subject.other | syndrome surveillance; emerging diseases; early detection; stat | - |
dc.title | Feasibility of applying syndrome surveillance algorithms to animal health and production data to improve emerging animal disease surveillance | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | May 17-20, 2011 | - |
local.bibliographicCitation.conferencename | 1st International Conference on Animal Health Surveillance (ICAHS) | - |
local.bibliographicCitation.conferenceplace | Lyon, France | - |
dc.identifier.epage | 173 | - |
dc.identifier.spage | 171 | - |
dc.identifier.volume | 59-60 | - |
local.format.pages | 3 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.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. | - |
local.publisher.place | MAISONS-ALFORT CEDEX | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.isi | 000394827200060 | - |
local.bibliographicCitation.btitle | EPIDEMIOLOGIE ET SANTE ANIMALE, NO 59-60 | - |
item.fullcitation | Mintiens, K.; LITIERE, Saskia; FAES, Christel; Houdart, Ph.; AERTS, Marc & Vose, D. (2011) Feasibility of applying syndrome surveillance algorithms to animal health and production data to improve emerging animal disease surveillance. In: EPIDEMIOLOGIE ET SANTE ANIMALE, NO 59-60, AEEMA-ASSOC L ETUDE L EPIDEMIOLOGIE MALADIES ANIMALES,p. 171-173. | - |
item.contributor | Mintiens, K. | - |
item.contributor | LITIERE, Saskia | - |
item.contributor | FAES, Christel | - |
item.contributor | Houdart, Ph. | - |
item.contributor | AERTS, Marc | - |
item.contributor | Vose, D. | - |
item.validation | ecoom 2019 | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Research publications |
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