Document Detail


Using the Electronic Foodborne Outbreak Reporting System (eFORS) to improve foodborne outbreak surveillance, investigations, and program evaluation.
MedLine Citation:
PMID:  20873527     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
John P Middaugh; Roberta M Hammond; Leah Eisenstein; Rebecca Lazensky
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of environmental health     Volume:  73     ISSN:  0022-0892     ISO Abbreviation:  J Environ Health     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-09-29     Completed Date:  2010-10-21     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0405525     Medline TA:  J Environ Health     Country:  United States    
Other Details:
Languages:  eng     Pagination:  8-11     Citation Subset:  IM    
Affiliation:
Bureau of Epidemiology, Florida Department of Health, Tallahassee, FL 32399-1720, USA.
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MeSH Terms
Descriptor/Qualifier:
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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