IDEAS home Printed from https://ideas.repec.org/p/ags/usdami/309617.html
   My bibliography  Save this paper

Attributing U.S. Campylobacteriosis Cases to Food Sources, Season, and Temperature

Author

Listed:
  • Hoffmann, Sandra
  • Ashton, Lydia
  • Todd, Jessica E.
  • Ahn, Jae-Wan
  • Berck, Peter

Abstract

This paper presents a new approach to estimating the relationship between consumption of specific foods and foodborne illness in the United States. We apply this approach to the case of foodborne sporadic campylobacteriosis illness. Most foodborne illness is sporadic and not part of a widespread outbreak. Foodborne Campylobacter infections are widely thought to be linked to chicken and are highly seasonal, primarily driven by temperature. We find that chicken purchased for consumption at home is not associated with sporadic Campylobacter infection in the United States, while ground beef and berries purchased for consumption at home are. The association between seasonality and the rate of Campylobacter infections is stronger than the association with temperature.

Suggested Citation

  • Hoffmann, Sandra & Ashton, Lydia & Todd, Jessica E. & Ahn, Jae-Wan & Berck, Peter, 2021. "Attributing U.S. Campylobacteriosis Cases to Food Sources, Season, and Temperature," USDA Miscellaneous 309617, United States Department of Agriculture.
    • Handle: RePEc:ags:usdami:309617
    DOI: 10.22004/ag.econ.309617
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309617/files/err-284.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.309617?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lin, Biing-Hwan & Guthrie, Joanne F., 2012. "Nutritional Quality of Food Prepared at Home and Away From Home, 1977-2008," Economic Information Bulletin 142361, United States Department of Agriculture, Economic Research Service.
    2. Carlos Arnade & Linda Calvin & Fred Kuchler, 2009. "Consumer Response to a Food Safety Shock: The 2006 Food-Borne Illness Outbreak of E. coli O157: H7 Linked to Spinach," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 734-750, December.
    3. Einav, Liran & Leibtag, Ephraim S. & Nevo, Aviv, 2008. "On the Accuracy of Nielsen Homescan Data," Economic Research Report 56490, United States Department of Agriculture, Economic Research Service.
    4. Hoffman, Sandra & Maculloch, Bryan & Batz, Michael, 2015. "Economic Burden of Major Foodborne Illnesses Acquired in the United States," Economic Information Bulletin 205081, United States Department of Agriculture, Economic Research Service.
    5. Tine Hald & David Vose & Henrik C. Wegener & Timour Koupeev, 2004. "A Bayesian Approach to Quantify the Contribution of Animal‐Food Sources to Human Salmonellosis," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 255-269, February.
    6. Mark R. Powell, 2016. "Trends in Reported Foodborne Illness in the United States; 1996–2013," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1589-1598, August.
    7. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    8. Robin J. Lake & Peter J. Cressey & Donald M. Campbell & Elisabeth Oakley, 2010. "Risk Ranking for Foodborne Microbial Hazards in New Zealand: Burden of Disease Estimates," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 743-752, May.
    9. Mann, J.M., 1981. "A prospective study of response error in food history questionnaires: Implications for foodborne outbreak investigation," American Journal of Public Health, American Public Health Association, vol. 71(12), pages 1362-1366.
    10. Potter, R.C. & Kaneene, J.B. & Hall, W.N., 2003. "Risks Factors for Sporadic Campylobacter jejuni Infections in Rural Michigan: A Prospective Case-Control Study," American Journal of Public Health, American Public Health Association, vol. 93(12), pages 2118-2123.
    Full references (including those not matched with items on IDEAS)

    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. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    2. 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.
    3. Steven Duret & Hong‐Minh Hoang & Evelyne Derens‐Bertheau & Anthony Delahaye & Onrawee Laguerre & Laurent Guillier, 2019. "Combining Quantitative Risk Assessment of Human Health, Food Waste, and Energy Consumption: The Next Step in the Development of the Food Cold Chain?," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 906-925, April.
    4. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    5. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    6. Bovay, John & Ferrier, Peyton & Zhen, Chen, 2018. "Estimated Costs for Fruit and Vegetable Producers To Comply With the Food Safety Modernization Act’s Produce Rule," Economic Information Bulletin 276220, United States Department of Agriculture, Economic Research Service.
    7. John Bovay, 2025. "Shaming, stringency, and shirking: Evidence from food‐safety inspections," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(1), pages 152-180, January.
    8. Allison Lacko & Shu Wen Ng & Barry Popkin, 2020. "Urban vs. Rural Socioeconomic Differences in the Nutritional Quality of Household Packaged Food Purchases by Store Type," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    9. Richard Volpe & Edward C Jaenicke & Lauren Chenarides, 2018. "Store Formats, Market Structure, and Consumers’ Food Shopping Decisions," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 672-694, December.
    10. Petra Mullner & Geoff Jones & Alasdair Noble & Simon E. F. Spencer & Steve Hathaway & Nigel Peter French, 2009. "Source Attribution of Food‐Borne Zoonoses in New Zealand: A Modified Hald Model," Risk Analysis, John Wiley & Sons, vol. 29(7), pages 970-984, July.
    11. Gregory, Christian & Rahkovsky, Ilya & Anekwe, Tobenna D., 2014. "Consumers’ Use of Nutrition Information When Eating Out," Economic Information Bulletin 174796, United States Department of Agriculture, Economic Research Service.
    12. K. Glass & E. Fearnley & H. Hocking & J. Raupach & M. Veitch & L. Ford & M. D. Kirk, 2016. "Bayesian Source Attribution of Salmonellosis in South Australia," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 561-570, March.
    13. Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    14. Zeballos, Eliana & Mancino, Lisa & Lin, Biing-Hwan, 2020. "Does how you pay influence the share of healthy items that you Buy? Assessing differences in nutritional quality of food purchases by payment type," Food Policy, Elsevier, vol. 92(C).
    15. Marks, Mindy & Prina, Silvia & Gernhardt, Roy, 2023. "Government Shutdown and SNAP Disbursements: Effects on Household Expenditures," IZA Discussion Papers 16452, Institute of Labor Economics (IZA).
    16. Justine Hastings & Ryan Kessler & Jesse M. Shapiro, 2021. "The Effect of SNAP on the Composition of Purchased Foods: Evidence and Implications," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 277-315, August.
    17. Evans, Keith S. & Teisl, Mario F. & Lando, Amy. M. & Liu, Sherry T., 2020. "Risk perceptions and food-handling practices in the home," Food Policy, Elsevier, vol. 95(C).
    18. Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
    19. Katarina D.M. Pintar & Kate M. Thomas & Tanya Christidis & Ainsley Otten & Andrea Nesbitt & Barbara Marshall & Frank Pollari & Matt Hurst & Andre Ravel, 2017. "A Comparative Exposure Assessment of Campylobacter in Ontario, Canada," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 677-715, April.
    20. Griffith, Rachel & Smith, Kate & Krol, Michal, 2015. "Store Brands and the Role of Advertising," CEPR Discussion Papers 10877, C.E.P.R. Discussion Papers.

    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:ags:usdami:309617. 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: AgEcon Search (email available below). General contact details of provider: http://www.usda.gov .

    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.