title: Epidemiological studies of pig diseases: 1. Use of French protocols for risk factor assessment to predict the health status of Australian herds.
abstract: OBJECTIVE
  To determine in Australian pig herds the accuracy of French protocols for risk factor assessment.
  
  
  METHODS
  Data on health indicators and risk factors were collected for three syndromes, 'pre-weaning diarrhoea', 'post-weaning diarrhoea' and 'respiratory problems', using the French protocols. The protocols were used on 118 occasions in 32 Western Australian pig herds during 3 years (1988 to 1991).
  
  
  RESULTS
  There was a wide variation in pre-weaning performance, for example growth rate was 107 to 273 g/day (< 200 g/day in 33% of herds). Respiratory lesions at weaning were associated with poor pre-weaning performance. Post-weaning (21 days after weaning) growth rate was 114 to 408 g/day (< 250 g/day in 54% of herds). In the grower herds, 91% of herds had pneumonia, and growth rate was 439 to 625 g/day (< 550 g/day in 54% of herds). Pleurisy as well as pneumonia was associated with reduced growth rate. The risk factor most closely associated with respiratory health status was air volume per pig.
  
  
  CONCLUSIONS
  Risk factors were most accurate at predicting the health status in post-weaning problems. A weaning weight of at least 7.9 kg and weaning age of 30 days optimised weaner performance. Stocking densities and shed designs providing at least 3 m3 air volume and 0.6 m2 floor space per pig throughout the growing phase should be considered for an improved respiratory health status. Australian pig sheds often do not provide a satisfactory environment for optimum health. The technique of risk factor assessment as an aid to the maintenance of health in pig herds is applicable in Australia, but further research is necessary to determine the most important Australian risk factors.
authors.affiliation: School of Veterinary Studies, Murdoch University, Western Australia.
authors.forename: J R
authors.initials: JR
authors.lastname: Buddle
authors.forename: A R
authors.initials: AR
authors.lastname: Mercy
authors.forename: S Z
authors.initials: SZ
authors.lastname: Skirrow
authors.forename: F
authors.initials: F
authors.lastname: Madec
authors.forename: R R
authors.initials: RR
authors.lastname: Nicholls
mesh_terms: D000818:Animals; D003625:Data Collection; D003936:Diagnosis, Computer-Assisted / Q000379:methods / Q000662:veterinary; D003967:Diarrhea / Q000175:diagnosis / Q000453:epidemiology / Q000662:veterinary; D005260:Female; D006304:Health Status; D006305:Health Status Indicators; D015994:Incidence; D011237:Predictive Value of Tests; D012140:Respiratory Tract Diseases / Q000175:diagnosis / Q000453:epidemiology / Q000662:veterinary; D018570:Risk Assessment; D012307:Risk Factors; D013552:Swine; D013553:Swine Diseases / Q000145:classification / Q000175:diagnosis / Q000453:epidemiology*; D013577:Syndrome; D014904:Western Australia / Q000453:epidemiology