IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v25y2005i1p99-108.html
   My bibliography  Save this article

A Linear Model for Managing the Risk of Antimicrobial Resistance Originating in Food Animals

Author

Listed:
  • Mary J. Bartholomew
  • David J. Vose
  • Linda R. Tollefson
  • Curtis C. Travis

Abstract

A linear population risk model used by the U.S. Food and Drug Administration (FDA) Center for Veterinary Medicine (CVM) estimates the risk of human cases of campylobacteriosis caused by fluoroquinolone‐resistant Campylobacter. Among the cases of campylobacteriosis attributed to domestically produced chicken, the fluoroquinolone resistance is assumed to result from the use of fluoroquinolones in poultry in the United States. Properties of the linear population risk model are contrasted with those of a farm‐to‐fork model commonly used for microbial risk assessments. The utility of the linear population model for the purpose for which it was used by CVM is discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:riskan:v:25:y:2005:i:1:p:99-108
    DOI: 10.1111/j.0272-4332.2005.00570.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.0272-4332.2005.00570.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.0272-4332.2005.00570.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. Harris, N.V. & Weiss, N.S. & Nolan, C.M., 1986. "The role of poultry and meats in the etiology of Campylobacter jejuni/coli enteritis," American Journal of Public Health, American Public Health Association, vol. 76(4), pages 407-411.
    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.
    3. P. F. M. Teunis & A. H. Havelaar, 2000. "The Beta Poisson Dose‐Response Model Is Not a Single‐Hit Model," Risk Analysis, John Wiley & Sons, vol. 20(4), pages 513-520, 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. Louis Anthony (Tony) Cox, 2005. "Some Limitations of a Proposed Linear Model for Antimicrobial Risk Management," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1327-1332, December.
    2. H. Scott Hurd & Sasidhar Malladi, 2008. "A Stochastic Assessment of the Public Health Risks of the Use of Macrolide Antibiotics in Food Animals," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 695-710, June.
    3. Kohei Makita & Eric M Fèvre & Charles Waiswa & Mark C Eisler & Susan C Welburn, 2010. "How Human Brucellosis Incidence in Urban Kampala Can Be Reduced Most Efficiently? A Stochastic Risk Assessment of Informally-Marketed Milk," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
    4. 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.

    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. 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.
    2. 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.
    3. Peter Teunis & Katsuhisa Takumi & Kunihiro Shinagawa, 2004. "Dose Response for Infection by Escherichia coli O157:H7 from Outbreak Data," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 401-407, April.
    4. Régis Pouillot & Benoit Garin & Noro Ravaonindrina & Kane Diop & Mahery Ratsitorahina & Domoina Ramanantsoa & Jocelyne Rocourt, 2012. "A Risk Assessment of Campylobacteriosis and Salmonellosis Linked to Chicken Meals Prepared in Households in Dakar, Senegal," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1798-1819, October.
    5. Tucker R. Burch, 2020. "Outbreak‐Based Giardia Dose–Response Model Using Bayesian Hierarchical Markov Chain Monte Carlo Analysis," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 705-722, April.
    6. 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.
    7. 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.
    8. Wopke van der Werf & Lia Hemerik & Just M Vlak & Mark P Zwart, 2011. "Heterogeneous Host Susceptibility Enhances Prevalence of Mixed-Genotype Micro-Parasite Infections," PLOS Computational Biology, Public Library of Science, vol. 7(6), pages 1-15, June.
    9. 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.
    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. 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.
    12. 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.
    13. Amie Adkin & Neil Donaldson & Louise Kelly, 2013. "A Quantitative Assessment of the Prion Risk Associated with Wastewater from Carcass‐Handling Facilities," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1212-1227, July.
    14. 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.
    15. 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.
    16. Zhang, Xiaoge & Mahadevan, Sankaran, 2021. "Bayesian network modeling of accident investigation reports for aviation safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    17. Peter F. M. Teunis & Cynthia L. Chappell & Pablo C. Okhuysen, 2002. "Cryptosporidium Dose Response Studies: Variation Between Isolates," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 175-185, February.
    18. 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.
    19. Ascioti, Fortunato A. & Mangano, Maria Cristina & Marcianò, Claudio & Sarà , Gianluca, 2022. "The sanitation service of seagrasses – Dependencies and implications for the estimation of avoided costs," Ecosystem Services, Elsevier, vol. 54(C).
    20. Arnout R. H. Fischer & Aarieke E. I. De Jong & Esther D. Van Asselt & Rob De Jonge & Lynn J. Frewer & Maarten J. Nauta, 2007. "Food Safety in the Domestic Environment: An Interdisciplinary Investigation of Microbial Hazards During Food Preparation," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 1065-1082, 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:25:y:2005:i:1:p:99-108. 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.