IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v33y2013i2p232-248.html
   My bibliography  Save this article

Quantitative Risk Assessment of Human Salmonellosis in Canadian Broiler Chicken Breast from Retail to Consumption

Author

Listed:
  • Hanan Smadi
  • Jan M. Sargeant

Abstract

The current quantitative risk assessment model followed the framework proposed by the Codex Alimentarius to provide an estimate of the risk of human salmonellosis due to consumption of chicken breasts which were bought from Canadian retail stores and prepared in Canadian domestic kitchens. The model simulated the level of Salmonella contamination on chicken breasts throughout the retail‐to‐table pathway. The model used Canadian input parameter values, where available, to represent risk of salmonellosis. From retail until consumption, changes in the concentration of Salmonella on each chicken breast were modeled using equations for growth and inactivation. The model predicted an average of 318 cases of salmonellosis per 100,000 consumers per year. Potential reasons for this overestimation were discussed. A sensitivity analysis showed that concentration of Salmonella on chicken breasts at retail and food hygienic practices in private kitchens such as cross‐contamination due to not washing cutting boards (or utensils) and hands after handling raw meat along with inadequate cooking contributed most significantly to the risk of human salmonellosis. The outcome from this model emphasizes that responsibility for protection from Salmonella hazard on chicken breasts is a shared responsibility. Data needed for a comprehensive Canadian Salmonella risk assessment were identified for future research.

Suggested Citation

  • Hanan Smadi & Jan M. Sargeant, 2013. "Quantitative Risk Assessment of Human Salmonellosis in Canadian Broiler Chicken Breast from Retail to Consumption," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 232-248, February.
    • Handle: RePEc:wly:riskan:v:33:y:2013:i:2:p:232-248
    DOI: 10.1111/j.1539-6924.2012.01841.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2012.01841.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.2012.01841.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vijay K. Juneja & Harry M. Marks & Lihan Huang, 2003. "Growth and Heat Resistance Kinetic Variation Among Various Isolates of Salmonella and its Application to Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 23(1), pages 199-213, February.
    2. Peter F. M. Teunis & Nico J. D. Nagelkerke & Charles N. Haas, 1999. "Dose Response Models For Infectious Gastroenteritis," Risk Analysis, John Wiley & Sons, vol. 19(6), pages 1251-1260, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yangjunna Zhang & Annette M. O'Connor & Chong Wang & James S. Dickson & H. Scott Hurd & Bing Wang, 2019. "Interventions Targeting Deep Tissue Lymph Nodes May Not Effectively Reduce the Risk of Salmonellosis from Ground Pork Consumption: A Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2237-2258, October.
    2. Gilberto Montibeller & L. Alberto Franco & Ashley Carreras, 2020. "A Risk Analysis Framework for Prioritizing and Managing Biosecurity Threats," Risk Analysis, John Wiley & Sons, vol. 40(11), pages 2462-2477, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. K. Hoelzer & Y. Chen & S. Dennis & P. Evans & R. Pouillot & B. J. Silk & I. Walls, 2013. "New Data, Strategies, and Insights for Listeria monocytogenes Dose‐Response Models: Summary of an Interagency Workshop, 2011," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1568-1581, September.
    2. A. H. Havelaar & A. N. Swart, 2014. "Impact of Acquired Immunity and Dose‐Dependent Probability of Illness on Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1807-1819, October.
    3. Yin Huang & Charles N. Haas, 2009. "Time‐Dose‐Response Models for Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 648-661, May.
    4. Phillip M. Gurman & Tom Ross & Andreas Kiermeier, 2018. "Quantitative Microbial Risk Assessment of Salmonellosis from the Consumption of Australian Pork: Minced Meat from Retail to Burgers Prepared and Consumed at Home," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2625-2645, December.
    5. Timothy R. Julian & Robert A. Canales & James O. Leckie & Alexandria B. Boehm, 2009. "A Model of Exposure to Rotavirus from Nondietary Ingestion Iterated by Simulated Intermittent Contacts," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 617-632, May.
    6. Nicole C. J. Brienen & Aura Timen & Jacco Wallinga & Jim E. Van Steenbergen & Peter F. M. Teunis, 2010. "The Effect of Mask Use on the Spread of Influenza During a Pandemic," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1210-1218, August.
    7. Arnout R. H. Fischer & Aarieke E. I. De Jong & Rob De Jonge & Lynn J. Frewer & Maarten J. Nauta, 2005. "Improving Food Safety in the Domestic Environment: The Need for a Transdisciplinary Approach," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 503-517, June.
    8. Mary J. Bartholomew & David J. Vose & Linda R. Tollefson & Curtis C. Travis, 2005. "A Linear Model for Managing the Risk of Antimicrobial Resistance Originating in Food Animals," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 99-108, February.
    9. Sido D. Mylius & Maarten J. Nauta & Arie H. Havelaar, 2007. "Cross‐Contamination During Food Preparation: A Mechanistic Model Applied to Chicken‐Borne Campylobacter," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 803-813, August.
    10. Tingting Gao & Rong Chen & Yanzheng Liu & Xiaochang C. Wang & Yuyou Li, 2018. "Construction of a Dose–Illness Relationship via Modeling Morbidity and Application to Risk Assessment of Wastewater Reuse," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1672-1684, August.
    11. Régis Pouillot* & Karin Hoelzer & Yuhuan Chen & Sherri B. Dennis, 2015. "Listeria monocytogenes Dose Response Revisited—Incorporating Adjustments for Variability in Strain Virulence and Host Susceptibility," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 90-108, January.
    12. Louis A. Cox & Douglas A. Popken, 2004. "Quantifying Human Health Risks from Virginiamycin Used in Chickens," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 271-288, February.
    13. Sushil B. Tamrakar & Anne Haluska & Charles N. Haas & Timothy A. Bartrand, 2011. "Dose‐Response Model of Coxiella burnetii (Q Fever)," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 120-128, January.
    14. Baloch, Gohram & Gzara, Fatma & Elhedhli, Samir, 2023. "Risk-based allocation of COVID-19 personal protective equipment under supply shortages," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1085-1100.
    15. Philip J. Schmidt, 2017. "Comment on “Guidelines for Use of the Approximate Beta‐Poisson Dose–Response Model”: Previously Published Guidelines Continue to be Ignored," Risk Analysis, John Wiley & Sons, vol. 37(2), pages 196-200, February.
    16. Kaatje Els Bollaerts & Winy Messens & Laurent Delhalle & Marc Aerts & Yves Van der Stede & Jeroen Dewulf & Sophie Quoilin & Dominiek Maes & Koen Mintiens & Koen Grijspeerdt, 2009. "Development of a Quantitative Microbial Risk Assessment for Human Salmonellosis Through Household Consumption of Fresh Minced Pork Meat in Belgium," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 820-840, June.
    17. Régis Pouillot & Pascal Beaudeau & Jean‐Baptiste Denis & Francis Derouin & AFSSA Cryptosporidium Study Group, 2004. "A Quantitative Risk Assessment of Waterborne Cryptosporidiosis in France Using Second‐Order Monte Carlo Simulation," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 1-17, February.
    18. James D. Englehardt & Jeff Swartout, 2006. "Predictive Bayesian Microbial Dose‐Response Assessment Based on Suggested Self‐Organization in Primary Illness Response: Cryptosporidium parvum," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 543-554, April.
    19. Thomas Oscar, 2004. "Dose‐Response Model for 13 Strains of Salmonella," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 41-49, February.
    20. Maarten J. Nauta & Wilma F. Jacobs‐Reitsma & Arie H. Havelaar, 2007. "A Risk Assessment Model for Campylobacter in Broiler Meat," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 845-861, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:33:y:2013:i:2:p:232-248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.