Skip to main content

Using a Theoretical Predictive Tool for the Analysis of Recent Health Department Inspections at Outbreak Restaurants and Relation of This Information to Foodborne Illness Likelihood

Buy Article:

$37.00 plus tax (Refund Policy)

Abstract:

Because U.S. restaurants are inspected at least annually against criteria in the U.S. Food and Drug Administration Model Food Code, large amounts of data are generated and should be systematically reviewed. The purpose of this study was to determine the relationships among the data obtained through health department inspections, the contributing factors to foodborne illness identified by the Centers for Disease Control and Prevention, and the risks of outbreaks of norovirus, Salmonella, and Clostridium perfringens infection associated with a specific restaurant. These agents were chosen for the analysis because they cause the majority of foodborne illnesses. A theoretical predictive assessment tool was built that extracts data from routine health department inspection reports for specific restaurants to establish a risk profile for each restaurant and identify the likelihood of a norovirus, Salmonella, or C. perfringens outbreak at that restaurant. The tool was used to examine inspection reports from restaurants known to have had confirmed norovirus, Salmonella, and C. perfringens outbreaks. Although evaluation of an extensive data set revealed lack of an overall association between outbreak inspection scores and routine inspection scores obtained at outbreak restaurant locations, certain specific violations were significantly more likely to be recorded. Significant differences in types of violations recorded during outbreak and routine inspections were determined. When risks based on violation type can be identified, targeted actions may be able to be prioritized and implemented to help decrease illnesses.

Document Type: Research Article

DOI: http://dx.doi.org/10.4315/0362-028X.JFP-12-147

Affiliations: 1: Ecolab, 655 Lone Oak Drive, Eagan, Minnesota 55121, USA. ruth.petran@ecolab.com 2: Ecolab, 655 Lone Oak Drive, Eagan, Minnesota 55121, USA 3: Division of Environmental Health Sciences, University of Minnesota, 420 Delaware Street S.E., Minneapolis, Minnesota 55455, USA

Publication date: November 1, 2012

More about this publication?
  • IAFP Members with personal subscriptions to JFP Online: To access full-text JFP or JMFT articles, you must sign-in in the upper-right corner using your Ingenta sign-in details (your IAFP Member Login does not apply to this website).

    The Journal of Food Protection (JFP) is a refereed monthly publication. Each issue contains scientific research and authoritative review articles reporting on a variety of topics in food science pertaining to food safety and quality. The Journal is internationally recognized as the leading publication in the field of food microbiology with a readership exceeding 11,000 scientists from 70 countries. The Journal of Food Protection is indexed in Index Medicus, Current Contents, BIOSIS, PubMed, Medline, and many others.

    Print and online subscriptions are available to IAFP Members and institutional subscribers. IAFP Members with a subscription to JFP Online will have access to all available JFP and JMFT content. Online visitors who are not IAFP Members or journal subscribers will be charged on a pay-per-view basis. Membership and subscription information is available at www.foodprotection.org.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Information for Advertisers
  • Ingenta Connect is not responsible for the content or availability of external websites
iafp/jfp/2012/00000075/00000011/art00013
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more