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Risk Assessment of Salmonellosis from Consumption of Alfalfa Sprouts and Evaluation of the Public Health Impact of Sprout Seed Treatment and Spent Irrigation Water Testing

Author

Listed:
  • Yuhuan Chen
  • Régis Pouillot
  • Sofia M. Santillana Farakos
  • Steven Duret
  • Judith Spungen
  • Tong‐Jen Fu
  • Fazila Shakir
  • Patricia A. Homola
  • Sherri Dennis
  • Jane M. Van Doren

Abstract

We developed a risk assessment of human salmonellosis associated with consumption of alfalfa sprouts in the United States to evaluate the public health impact of applying treatments to seeds (0–5‐log10 reduction in Salmonella) and testing spent irrigation water (SIW) during production. The risk model considered variability and uncertainty in Salmonella contamination in seeds, Salmonella growth and spread during sprout production, sprout consumption, and Salmonella dose response. Based on an estimated prevalence of 2.35% for 6.8 kg seed batches and without interventions, the model predicted 76,600 (95% confidence interval (CI) 15,400–248,000) cases/year. Risk reduction (by 5‐ to 7‐fold) predicted from a 1‐log10 seed treatment alone was comparable to SIW testing alone, and each additional 1‐log10 seed treatment was predicted to provide a greater risk reduction than SIW testing. A 3‐log10 or a 5‐log10 seed treatment reduced the predicted cases/year to 139 (95% CI 33–448) or 1.4 (95% CI

Suggested Citation

  • Yuhuan Chen & Régis Pouillot & Sofia M. Santillana Farakos & Steven Duret & Judith Spungen & Tong‐Jen Fu & Fazila Shakir & Patricia A. Homola & Sherri Dennis & Jane M. Van Doren, 2018. "Risk Assessment of Salmonellosis from Consumption of Alfalfa Sprouts and Evaluation of the Public Health Impact of Sprout Seed Treatment and Spent Irrigation Water Testing," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1738-1757, August.
    • Handle: RePEc:wly:riskan:v:38:y:2018:i:8:p:1738-1757
    DOI: 10.1111/risa.12964
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    References listed on IDEAS

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    1. Michael S. Williams & Eric D. Ebel & David Vose, 2011. "Framework for Microbial Food‐Safety Risk Assessments Amenable to Bayesian Modeling," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 548-565, April.
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