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Assessment and quantification of post-weaning multi-systemic wasting syndrome severity at farm level

Alarcon, Pablo ; Velasova, Martina ; Werling, Dirk ; Stärk, Katharina D.C. ; Chang, Yu-Mei ; Nevel, Amanda ; Pfeiffer, Dirk U. ; Wieland, Barbara

Preventive veterinary medicine, 2011, Vol.98 (1), p.19-28 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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Título:
Assessment and quantification of post-weaning multi-systemic wasting syndrome severity at farm level
Autor: Alarcon, Pablo ; Velasova, Martina ; Werling, Dirk ; Stärk, Katharina D.C. ; Chang, Yu-Mei ; Nevel, Amanda ; Pfeiffer, Dirk U. ; Wieland, Barbara
Assuntos: Animals ; Animals, Newborn ; Circovirus - isolation & purification ; disease severity ; England - epidemiology ; farms ; Female ; Male ; Morbidity ; PCV2 PCR ; PMWS severity ; polymerase chain reaction ; Porcine circovirus ; Porcine Postweaning Multisystemic Wasting Syndrome - mortality ; Porcine Postweaning Multisystemic Wasting Syndrome - pathology ; postweaning multisystemic wasting syndrome ; Principal Component Analysis ; Risk Factors ; Serotyping - veterinary ; Severity of Illness Index ; swine ; Swine - growth & development ; swine diseases ; Weaning
É parte de: Preventive veterinary medicine, 2011, Vol.98 (1), p.19-28
Notas: http://dx.doi.org/10.1016/j.prevetmed.2010.09.022
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SourceType-Scholarly Journals-1
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Descrição: Post-weaning multi-systemic wasting syndrome (PMWS) causes major economic losses for the English pig industry and severity of clinical signs and economic impact vary considerably between affected farms. We present here a novel approach to quantify severity of PMWS based on morbidity and mortality data and presence of porcine circovirus type 2 (PCV2). In 2008–2009, 147 pig farms across England, non-vaccinating for PCV2, were enrolled in a cross-sectional study. Factor analysis was used to generate variables representing biologically meaningful aspects of variation among qualitative and quantitative morbidity variables. Together with other known variables linked to PMWS, the resulting factors were included in a principal component analysis (PCA) to derive an algorithm for PMWS severity. Factor analysis resulted in two factors: Morbidity Factor 1 (MF1) representing mainly weaner and grower morbidity, and Morbidity Factor 2 (MF2) which mainly reflects variation in finisher morbidity. This indicates that farms either had high morbidity mainly in weaners/growers or mainly in finishers. Subsequent PCA resulted in the extraction of one component representing variation in MF1, post-weaning mortality and percentage of PCV2 PCR positive animals. Component scores were normalised to a value range from 0 to 10 and farms classified into: non or slightly affected farms with a score <4, moderately affected farms with scores 4–6.5 and highly affected farms with a score >6.5. The identified farm level PMWS severities will be used to identify risk factors related to these, to assess the efficacy of PCV2 vaccination and investigating the economic impact of potential control measures.
Editor: Netherlands: Elsevier B.V
Idioma: Inglês

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Assessment and quantification of post-weaning multi-systemic wasting syndrome severity at farm level

Alarcon, Pablo ; Velasova, Martina ; Werling, Dirk ; Stärk, Katharina D.C. ; Chang, Yu-Mei ; Nevel, Amanda ; Pfeiffer, Dirk U. ; Wieland, Barbara

Netherlands: Elsevier B.V

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