Towards a risk-based surveillance for Trichinella spp. in Danish pig production.

Increasing demands for cost-effectiveness in surveillance for human health hazards from animal origins can be met by introducing risk-based principles. This e.g. implies targeting subpopulations with higher risk of infection compared to the whole population. Furthermore, historical data from surveillance can be collated and used to assess future risk of infection. To demonstrate the effectiveness of combining these two approaches, we used a model called "Discounting historical evidence". It depends mainly on the annual risk of introduction (PIntro) and the surveillance system sensitivity (SSe) (ability to detect infection if present). The model implies simulations that reiterate for a number of years. For each year the output is updated with the confidence on absence in infection. Trichinella spiralis infection in pigs is used as an example. In Denmark, more than 20 million pigs are tested annually. Despite more than 70 years of testing no pigs have been found positive for Trichinella. Hence, PIntro is low. SSe can be estimated from the maximum number of infected carcasses expected under the specified design prevalence, and the sensitivity of the test applied. According to our assessment, the current prevalence of Trichinella in Danish pigs is less than one case per million, which we interpret as negligible risk. Based on this, a risk-based surveillance programme for Trichinella is designed that targets all out-door reared pigs as well as all sows and boars (current total 610,000 slaughtered annually). These subpopulations are judged to have higher risk of getting Trichinella. Again, SSe and PIntro are estimated and the model results show that risk-based surveillance can be applied without jeopardizing human health. Finally, we incorporate wildlife surveys and test quality assurance in the programme. The results of the simulation model were included in an application to the European Commission concerning Denmark's status as a region with negligible risk of Trichinella. In July 2007, the European Commission granted status as "negligible risk" to Danish pigs and pork.

[1]  Efsa Publication,et al.  The Community Summary Report on Trends and Sources of Zoonoses in 2008 , 2010 .

[2]  A. Gajadhar,et al.  A validated Trichinella digestion assay and an associated sampling and quality assurance system for use in testing pork and horse meat. , 1999, Journal of food protection.

[3]  C. Kapel Changes in the EU legislation on Trichinella inspection--new challenges in the epidemiology. , 2005, Veterinary parasitology.

[4]  E. W. Zirkle,et al.  Trichinella spiralis in an agricultural ecosystem: transmission under natural and experimentally modified on-farm conditions. , 1987, The Journal of parasitology.

[5]  H. Gamble Parasites associated with pork and pork products. , 1997, Revue scientifique et technique.

[6]  H. Gamble,et al.  Seroprevalence of Trichinella infection in domestic swine based on the National Animal Health Monitoring System's 1990 and 1995 swine surveys. , 1999, Veterinary parasitology.

[7]  J. Heidrich,et al.  Influence of methods for Trichinella detection in pigs from endemic and non-endemic European region. , 2004, Journal of veterinary medicine. B, Infectious diseases and veterinary public health.

[8]  E. Pozio Trichinellosis in the European union: epidemiology, ecology and economic impact. , 1998, Parasitology today.

[9]  E. Pozio,et al.  Systematics and epidemiology of trichinella. , 2006, Advances in parasitology.

[10]  K. Nöckler,et al.  [Helminth findings in indigenous raccoon dogs Nyctereutes procyonoides (Gray, 1843)]. , 2001, Berliner und Munchener tierarztliche Wochenschrift.

[11]  H. Gamble,et al.  Detection of parasites in food , 1999, Parasitology.

[12]  V. Paulauskas,et al.  Molecular epidemiology of Trichinella spp. in three Baltic countries: Lithuania, Latvia, and Estonia , 2007, Parasitology Research.

[13]  C. Kapel,et al.  Meat inspection for Trichinella in pork, horsemeat and game within the EU: available technology and its present implementation. , 2006, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[14]  H. Bjørn,et al.  Screening for infection of Trichinella in red fox (Vulpes vulpes) in Denmark. , 2000, Veterinary parasitology.

[15]  A R Cameron,et al.  Demonstrating freedom from disease using multiple complex data sources 2: case study--classical swine fever in Denmark. , 2007, Preventive veterinary medicine.

[16]  S. Mortensen,et al.  Biosecurity in 116 Danish fattening swineherds: descriptive results and factor analysis. , 2004, Preventive veterinary medicine.

[17]  P A J Martin,et al.  Demonstrating freedom from disease using multiple complex data sources 1: a new methodology based on scenario trees. , 2007, Preventive veterinary medicine.

[18]  H. Gamble,et al.  Prevalence and risk association for Trichinella infection in domestic pigs in the northeastern United States. , 1999, Veterinary parasitology.

[19]  M. Moser,et al.  Targeted surveillance for bovine spongiform encephalopathy , 1999, Veterinary Record.

[20]  A R Cameron,et al.  A new probability formula for surveys to substantiate freedom from disease. , 1998, Preventive veterinary medicine.

[21]  Martijn Bouwknegt,et al.  Seroprevalence of Trichinella spiralis and Toxoplasma gondii in pigs from different housing systems in The Netherlands. , 2007, Veterinary parasitology.

[22]  A. Sukura,et al.  ASSOCIATIONS BETWEEN TRICHINELLA SPECIES AND HOST SPECIES IN FINLAND , 2002, The Journal of parasitology.