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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 Thursday, September 29, 2011: Veterinary Record 2011; Volume 169, Issue 13 September
Severity of PMWS: Investigating Risk Factors on Farms
P. Alarcon, M. Velasova, A. Mastin, A. Nevel, K. D. C. Stärk, B. Wieland
This study identified risk factors associated with different levels of severity of postweaning multisystemic wasting syndrome (PMWS) on pig farms in England.

During 2008/09, 147 farms across England were studied. They were recruited through a porcine circovirus type 2 (PCV-2) vaccination programme and by veterinary practitioners. PCV-2 vaccination, if used, could only be implemented after blood samples had been collected on the farm; and all age groups had to be available for inspection and blood sampling. Farms were classified according to the severity of PMWS (unaffected/slightly affected, or moderately or highly affected), based on combining data on postweaning mortality, PMWS morbidity and the proportion of PCV-2-positive pigs. Data on potential risk factors were collected by a questionnaire-based interview with farmers and on-farm assessment. Blood samples were collected for analysis from 20 pigs and two sows on each farm. Risk factors were identified using multivariable ordinal logistic regression and multivariable linear regression.

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