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
Abstract
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‐log 10 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‐log 10 seed treatment alone was comparable to SIW testing alone, and each additional 1‐log 10 seed treatment was predicted to provide a greater risk reduction than SIW testing. A 3‐log 10 or a 5‐log 10 seed treatment reduced the predicted cases/year to 139 (95% CI 33 – 448) or 1.4 (95% CI <1 – 4.5), respectively. Combined with SIW testing, a 3‐log 10 or 5‐log 10 seed treatment reduced the cases/year to 45 (95% CI 10–146) or <1 (95% CI <1 – 1.5), respectively. If the SIW coverage was less complete (i.e., lessmore »
- Authors:
-
- Center for Food Safety and Applied Nutrition U.S. Food and Drug Administration College Park MD USA
- Center for Food Safety and Applied Nutrition U.S. Food and Drug Administration Bedford Park IL USA
- Publication Date:
- Research Org.:
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- OSTI Identifier:
- 1417121
- Alternate Identifier(s):
- OSTI ID: 1417122; OSTI ID: 1625932
- Grant/Contract Number:
- SC0014664
- Resource Type:
- Published Article
- Journal Name:
- Risk Analysis
- Additional Journal Information:
- Journal Name: Risk Analysis Journal Volume: 38 Journal Issue: 8; Journal ID: ISSN 0272-4332
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; Public, Environmental & Occupational Health; Mathematics; Mathematical Methods In Social Sciences; Interventions; pathogens in sprouts; risk assessment; seed treatment; spent irrigation water testing
Citation Formats
Chen, Yuhuan, Pouillot, Régis, Santillana Farakos, Sofia M., Duret, Steven, Spungen, Judith, Fu, Tong‐Jen, Shakir, Fazila, Homola, Patricia A., Dennis, Sherri, and Van Doren, Jane M. 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. United States: N. p., 2018.
Web. doi:10.1111/risa.12964.
Chen, Yuhuan, Pouillot, Régis, Santillana Farakos, Sofia M., Duret, Steven, Spungen, Judith, Fu, Tong‐Jen, Shakir, Fazila, Homola, Patricia A., Dennis, Sherri, & Van Doren, Jane M. 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. United States. https://doi.org/10.1111/risa.12964
Chen, Yuhuan, Pouillot, Régis, Santillana Farakos, Sofia M., Duret, Steven, Spungen, Judith, Fu, Tong‐Jen, Shakir, Fazila, Homola, Patricia A., Dennis, Sherri, and Van Doren, Jane M. Tue .
"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". United States. https://doi.org/10.1111/risa.12964.
@article{osti_1417121,
title = {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 = {Chen, Yuhuan and Pouillot, Régis and Santillana Farakos, Sofia M. and Duret, Steven and Spungen, Judith and Fu, Tong‐Jen and Shakir, Fazila and Homola, Patricia A. and Dennis, Sherri and Van Doren, Jane M.},
abstractNote = {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‐log 10 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‐log 10 seed treatment alone was comparable to SIW testing alone, and each additional 1‐log 10 seed treatment was predicted to provide a greater risk reduction than SIW testing. A 3‐log 10 or a 5‐log 10 seed treatment reduced the predicted cases/year to 139 (95% CI 33 – 448) or 1.4 (95% CI <1 – 4.5), respectively. Combined with SIW testing, a 3‐log 10 or 5‐log 10 seed treatment reduced the cases/year to 45 (95% CI 10–146) or <1 (95% CI <1 – 1.5), respectively. If the SIW coverage was less complete (i.e., less representative), a smaller risk reduction was predicted, e.g., a combined 3‐log 10 seed treatment and SIW testing with 20% coverage resulted in an estimated 92 (95% CI 22 – 298) cases/year. Analysis of alternative scenarios using different assumptions for key model inputs showed that the predicted relative risk reductions are robust. This risk assessment provides a comprehensive approach for evaluating the public health impact of various interventions in a sprout production system.},
doi = {10.1111/risa.12964},
journal = {Risk Analysis},
number = 8,
volume = 38,
place = {United States},
year = {Tue Jan 16 00:00:00 EST 2018},
month = {Tue Jan 16 00:00:00 EST 2018}
}
https://doi.org/10.1111/risa.12964
Web of Science
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