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Vaccination
Management
Disease Information
A PMWS update (Jake Waddilove)
ABOUT PMWS & PDNS
National Pork Board PMWS Fact Sheet
About PDNS (Jake Waddilive)
CEI Emerging Disease Notices: PMWS / PDNS
Conference and meetings archive
Case Histories
Yorkshire Farm, UK - Mike Muirhead - Final Update, June 2002
Mike Muirhead's case history of a Yorkshire farm with PMWS and PDNS.
East Anglia Farm, UK - Philip Richardson
This paper charts the course and effects of the disease on a single herd as well as highlighting the economic impact.
Photographs
Clinical signs
Photos of the clinical signs that are seen generally in pigs with PMWS and PDNS. Includes skin lesions, enlarged lymph glands, wasting and dead pigs.
Post mortem (1)
Photos of the signs that are seen in post-mortem samples of pigs with PMWS and PDNS. Includes interstitial pneumonia, secondary bacterial infection, enlarged lymph nodes, oedema and intra cytoplasmic inclusions
Post mortem (2)
More Photos of the signs that are seen in post-mortem samples of pigs with PMWS and PDNS.


PMWS Research Archives

Published Friday, October 29, 2010: Prev Vet Med. 2010 Oct 29. [Epub ahead of print]
Assessment and Quantification of Post-Weaning Multi-Systemic Wasting Syndrome Severity at Farm Level.
Alarcon P, Velasova M, Werling D, Stärk KD, Chang YM, Nevel A, Pfeiffer DU, Wieland B.
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.

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