IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v27y2007i4p863-876.html
   My bibliography  Save this article

Assessing Interventions to Reduce the Risk of Campylobacter Prevalence in Broilers

Author

Listed:
  • Wendelke E. A. Katsma
  • Aline A. De Koeijer
  • Wilma F. Jacobs‐Reitsma
  • Marie‐Josée J. Mangen
  • Jaap A. Wagenaar

Abstract

As part of a comprehensive risk assessment on the Campylobacter prevalence in the chicken production chain (from young born chicken till chicken fillet) in the Netherlands, we formulated a quantitative model on the transmission dynamics of Campylobacter at Dutch broiler farms. This model is used to quantify the risk of Campylobacter prevalence in broilers at the time that flocks leave the farm for processing. To this end, we assumed that the Campylobacter prevalence is primarily determined by two parameters, that is, the within‐ and between‐flock transmission. The within‐flock transmission was assessed fitting experimental data to a logistic growth model and the between‐flock transmission was assessed fitting field data to a generalized linear model (GLM), which included three possible infection routes: (1) via an infected flock in the previous cycle, (2) via other infected flocks present on the farm, and (3) from other sources. This model was applied to assess the efficacy of three control scenarios; (1) a ban on other livestock on broiler farms, (2) a ban on thinning, and (3) a reduction of the between‐flock transmission. In contrast to the other scenarios, the third one was shown to be most effective. Theoretically, this is accomplished by improved biosecurity. However, the impact of improved biosecurity cannot be specified into specific control measures, and therefore it is not clear what investments are needed. Finally, we also assessed the efficacy of scheduled treatment, that is, fresh meat production solely from test‐negative flocks. We found that the reliability of negative test results, which is crucial, strongly depends on the length of time between testing and slaughter. The sensitivity and specificity of the test appeared to be of minor importance.

Suggested Citation

  • Wendelke E. A. Katsma & Aline A. De Koeijer & Wilma F. Jacobs‐Reitsma & Marie‐Josée J. Mangen & Jaap A. Wagenaar, 2007. "Assessing Interventions to Reduce the Risk of Campylobacter Prevalence in Broilers," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 863-876, August.
    • Handle: RePEc:wly:riskan:v:27:y:2007:i:4:p:863-876
    DOI: 10.1111/j.1539-6924.2007.00928.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2007.00928.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1539-6924.2007.00928.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. 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.
    2. Arie H. Havelaar & Marie‐Josee J. Mangen & Aline A. De Koeijer & Marc‐Jeroen Bogaardt & Eric G. Evers & Wilma F. Jacobs‐Reitsma & Wilfrid Van Pelt & Jaap A. Wagenaar & G. Ardine De Wit & Henk Van Der , 2007. "Effectiveness and Efficiency of Controlling Campylobacter on Broiler Chicken Meat," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 831-844, August.
    3. 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.
    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. Agnes Agunos & Lisa Waddell & David Léger & Eduardo Taboada, 2014. "A Systematic Review Characterizing On-Farm Sources of Campylobacter spp. for Broiler Chickens," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-20, August.
    2. Marie‐Josée J. Mangen & Arie H. Havelaar & Krijn P. Poppe & G. Ardine De Wit & the CARMA Project Team, 2007. "Cost‐Utility Analysis to Control Campylobacter on Chicken Meat—Dealing with Data Limitations," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 815-830, August.
    3. Arie H. Havelaar & Marie‐Josee J. Mangen & Aline A. De Koeijer & Marc‐Jeroen Bogaardt & Eric G. Evers & Wilma F. Jacobs‐Reitsma & Wilfrid Van Pelt & Jaap A. Wagenaar & G. Ardine De Wit & Henk Van Der , 2007. "Effectiveness and Efficiency of Controlling Campylobacter on Broiler Chicken Meat," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 831-844, August.
    4. Martijn Bouwknegt & Anne B. Knol & Jeroen P. van der Sluijs & Eric G. Evers, 2014. "Uncertainty of Population Risk Estimates for Pathogens Based on QMRA or Epidemiology: A Case Study of Campylobacter in the Netherlands," Risk Analysis, John Wiley & Sons, vol. 34(5), pages 847-864, May.
    5. Carolina Plaza Rodríguez & Guido Correia Carreira & Annemarie Käsbohrer, 2018. "A Probabilistic Transmission Model for the Spread of Extended‐Spectrum‐β‐Lactamase and AmpC‐β‐Lactamase‐Producing Escherichia Coli in the Broiler Production Chain," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2659-2682, December.

    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. Marie‐Josée J. Mangen & Arie H. Havelaar & Krijn P. Poppe & G. Ardine De Wit & the CARMA Project Team, 2007. "Cost‐Utility Analysis to Control Campylobacter on Chicken Meat—Dealing with Data Limitations," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 815-830, August.
    2. Maarten Nauta & Bjarke Christensen, 2011. "The Impact of Consumer Phase Models in Microbial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 31(2), pages 255-265, February.
    3. Martijn Bouwknegt & Anne B. Knol & Jeroen P. van der Sluijs & Eric G. Evers, 2014. "Uncertainty of Population Risk Estimates for Pathogens Based on QMRA or Epidemiology: A Case Study of Campylobacter in the Netherlands," Risk Analysis, John Wiley & Sons, vol. 34(5), pages 847-864, May.
    4. Régis Pouillot & Véronique Goulet & Marie Laure Delignette‐Muller & Aurélie Mahé & Marie Cornu, 2009. "Quantitative Risk Assessment of Listeria monocytogenes in French Cold‐Smoked Salmon: II. Risk Characterization," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 806-819, June.
    5. Maarten J. Nauta & Arnout R. H. Fischer & Esther D. Van Asselt & Aarieke E. I. De Jong & Lynn J. Frewer & Rob De Jonge, 2008. "Food Safety in the Domestic Environment: The Effect of Consumer Risk Information on Human Disease Risks," Risk Analysis, John Wiley & Sons, vol. 28(1), pages 179-192, February.
    6. Dorota Kurowicka & Maarten Nauta & Katarzyna Jozwiak & Roger Cooke, 2010. "Updating Parameters of the Chicken Processing Line Model," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 934-944, June.
    7. Eric G. Evers & Petra A. Berk & Mijke L. Horneman & Frans M. van Leusden & Rob de Jonge, 2014. "A Quantitative Microbiological Risk Assessment for Campylobacter in Petting Zoos," Risk Analysis, John Wiley & Sons, vol. 34(9), pages 1618-1638, September.
    8. 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.
    9. Yuke Wang & Christine L. Moe & Peter F. M. Teunis, 2018. "Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2478-2496, November.
    10. Eric G. Evers & Hetty Blaak & Raditijo A. Hamidjaja & Rob de Jonge & Franciska M. Schets, 2016. "A QMRA for the Transmission of ESBL‐Producing Escherichia coli and Campylobacter from Poultry Farms to Humans Through Flies," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 215-227, February.
    11. Elise Billoir & Jean‐Baptiste Denis & Natalie Commeau & Marie Cornu & Véronique Zuliani, 2011. "Probabilistic Modeling of the Fate of Listeria Monocytogenes in Diced Bacon During the Manufacturing Process," Risk Analysis, John Wiley & Sons, vol. 31(2), pages 237-254, February.
    12. Yicheol Han & Stephan J. Goetz & Claudia Schmidt, 2021. "Visualizing Spatial Economic Supply Chains to Enhance Sustainability and Resilience," Sustainability, MDPI, vol. 13(3), pages 1-15, February.
    13. Antti Mikkelä & Jukka Ranta & Manuel González & Marjaana Hakkinen & Pirkko Tuominen, 2016. "Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring," Risk Analysis, John Wiley & Sons, vol. 36(11), pages 2065-2080, November.
    14. 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.
    15. Eric G. Evers & Martijn Bouwknegt, 2016. "Combining QMRA and Epidemiology to Estimate Campylobacteriosis Incidence," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1959-1968, October.
    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. A. N. Swart & F. van Leusden & M. J. Nauta, 2016. "A QMRA Model for Salmonella in Pork Products During Preparation and Consumption," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 516-530, March.
    18. Yukichika Kawata & Masahide Watanabe, 2018. "Economic feasibility of Campylobacter†reduced chicken: Do consumers have high willingness to pay?," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 222-239, March.
    19. João Brandão & Chelsea Weiskerger & Elisabete Valério & Tarja Pitkänen & Päivi Meriläinen & Lindsay Avolio & Christopher D. Heaney & Michael J. Sadowsky, 2022. "Climate Change Impacts on Microbiota in Beach Sand and Water: Looking Ahead," IJERPH, MDPI, vol. 19(3), pages 1-15, January.
    20. A. N. Swart & E. G. Evers & R. L. L. Simons & M. Swanenburg, 2016. "Modeling of Salmonella Contamination in the Pig Slaughterhouse," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 498-515, March.

    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:27:y:2007:i:4:p:863-876. 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.