| Using the Electronic Foodborne Outbreak Reporting System (eFORS) to improve foodborne outbreak surveillance, investigations, and program evaluation. | |
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MedLine Citation:
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PMID: 20873527 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Challenges exist in comparing foodborne disease outbreaks (FBDOs) across states due to important differences in reporting practices and investigations. Variables such as FBDO size, population size, number of tourists, and suspected etiology are important to consider when interpreting FBDO data. Analysis of eFORS data can be valuable in improving state FBDO investigations. From 2000 to 2005, Florida reported a greater proportion of FBDOs, with two cases per outbreak, than the U.S. as a whole (40.4% in Florida vs. 17.2% in the U.S.). Reporting a higher rate of small FBDOs provided more opportunities for public health interventions but contributed to a lower agent confirmation rate (17.0% in Florida vs. 42.2% in the U.S.). While the Electronic Foodborne Outbreak Reporting System's (eFORS) database brought great improvements in national FBDO surveillance, as with any complex surveillance system, considerable knowledge and specialized expertise is required to properly analyze and interpret the data, especially because there is a large variation in state reports to eFORS. |
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Authors:
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John P Middaugh; Roberta M Hammond; Leah Eisenstein; Rebecca Lazensky |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of environmental health Volume: 73 ISSN: 0022-0892 ISO Abbreviation: J Environ Health Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-09-29 Completed Date: 2010-10-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0405525 Medline TA: J Environ Health Country: United States |
Other Details:
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Languages: eng Pagination: 8-11 Citation Subset: IM |
Affiliation:
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Bureau of Epidemiology, Florida Department of Health, Tallahassee, FL 32399-1720, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Access to Information Data Interpretation, Statistical Database Management Systems Disease Notification / statistics & numerical data* Disease Outbreaks / prevention & control* Florida / epidemiology Foodborne Diseases / epidemiology*, prevention & control* Health Education Humans Internet Population Surveillance / methods* Program Evaluation / statistics & numerical data* United States / epidemiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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