Risk of salmonellosis from the consumption of Irish fresh pork sausages

A second–order simulation model was built to estimate the risk of Salmonella typhimurium associated with the consumption of Irish fresh pork sausages using the results from a previous exposure assessment model and an Irish consumption database. To select appropriate hazard characterisation models, an appraisal of the current dose–response models fitted from available feeding trials data and outbreaks data was conducted. Using an infection and an illness dose–response model of the exponential type, for an infection end–point, the mean annual risk in a consumer of Irish sausage was estimated to be 8.54 × 10−5 or 192.8 expected infections per year (95% CI: 24–695), while for an illness end–point, the risk parameters were lower at 7.68 × 10−6 or 18.0 expected cases per year (95% CI: 2–66). While results of the model highlighted the importance of the consumer education through advice of sufficient cooking and basic instructions regarding cold storage and shelf life, with some 'strong' assumptions, it was further estimated that the fresh pork sausage may have a plausible contribution of 30% to the total cases of salmonellosis within the pork sources.

[1]  H M Marks,et al.  Topics in Microbial Risk Assessment: Dynamic Flow Tree Process , 1998, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Francis Butler,et al.  A consumer-phase exposure assessment of Salmonella Typhimurium from Irish fresh pork sausages: II. Cooking and consumption modules , 2010 .

[3]  Tine Hald,et al.  A Bayesian Approach to Quantify the Contribution of Animal‐Food Sources to Human Salmonellosis , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[4]  M Coleman,et al.  Topics in dose-response modeling. , 1998, Journal of food protection.

[5]  C. Hill,et al.  Determination of the influence of organic acids and nisin on shelf‐life and microbiologicalsafety aspects of fresh pork sausage , 1997, Journal of applied microbiology.

[6]  M. Blaser,et al.  A review of human salmonellosis: I. Infective dose. , 1982, Reviews of infectious diseases.

[7]  Christel Faes,et al.  Human Salmonellosis: Estimation of Dose‐Illness from Outbreak Data , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[8]  Charles P. Gerba,et al.  LINKING MICROBIOLOGICAL CRITERIA FOR FOODS WITH QUANTITATIVE RISK ASSESSMENT , 1995 .

[9]  Charles N. Haas,et al.  Dose Response Models For Infectious Gastroenteritis , 1999 .

[10]  Francis Butler,et al.  Estimation of prevalence of Salmonella on pig carcasses and pork joints, using a quantitative risk assessment model aided by meta-analysis. , 2009, Journal of food protection.

[11]  Francis Butler,et al.  Count data distributions and their zero-modified equivalents as a framework for modelling microbial data with a relatively high occurrence of zero counts. , 2010, International journal of food microbiology.

[12]  C. Eisele,et al.  Experimental human salmonellosis. III. Pathogenicity of strains of Salmonella newport, Salmonella derby, and Salmonella bareilly obtained from spray-dried whole egg. , 1951, The Journal of infectious diseases.

[13]  T. Oscar,et al.  Dose‐Response Model for 13 Strains of Salmonella , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[14]  D Crawford-Brown,et al.  A weighted composite dose-response model for human salmonellosis. , 2001, Risk analysis : an official publication of the Society for Risk Analysis.