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FoodNet is an active laboratory- and population-based surveillance system for to
monitor the incidence of foodborne diseases of local and national public health importance.
Objectives are to:
- Determine the burden of foodborne illness
- Monitor trends in the burden of specific foodborne illnesses over time
- Attribute the burden of foodborne illness to specific foods and settings
- Develop and assess interventions to reduce the burden of foodborne illness
For foodborne disease outbreak reporting and investigation go to foodborne outbreaks.
On this page:
Surveillance Activities • Data • Special Studies • Publications
FoodNet Ongoing Surveillance Activities
Foodborne Diseases Active Surveillance Network
Surveillance is conducted for seven bacterial and two parasitic pathogens: Campylobacter, Cryptosporidium, Cyclospora, Listeria, Salmonella, Shiga toxin producing Escherichia coli (STEC) 0157 and non-0157, Shigella, Vibrio, and Yersinia.
Activities include:
- Active laboratory-based surveillance for foodborne pathogens
The core of FoodNet is population-based active surveillance of clinical laboratories in the participating sites. Clinical laboratories that test stool samples are contacted regularly to collect information on all of laboratory-confirmed cases of foodborne illness.
- Survey of the population
The population survey is conducted to precisely estimate the burden of acute diarrheal illness and to describe the frequency of important exposures.
- Survey of clinical laboratory practices
The periodic laboratory survey is conducted to determine which pathogens are included in routine bacterial stool cultures, which tests must be specifically requested by the physician, and which specific techniques are used to isolate the pathogens.
- Survey of physicians
The periodic survey is conducted to understand knowledge, attitudes and practices of physicians.
- Disease attribution.
FoodNet Data
FoodNet Special Studies
Oregon EIP Foodborne Diseases Active Surveillance Network Special Studies
Genomics Study
Identifying human genomic factors associated with the development of hemolytic uremic syndrome (HUS) among persons infected with Shiga-toxin producing E. coli (STEC) and calculate the proportion of disease risk attributable to these genetic factors. Cases with STEC infections are asked for a saliva sample, which is then analyzed for genetic markers. Abstract
Non-O157 STEC Case-Control Study
Identifying behavioral, environmental, dietary, and medical risk factors for non-O157 Shiga toxin-producing E. coli infection and to describe clinical and microbiological features of illnesses caused by different types of non-O157 STEC. Abstract
To see all Oregon Emerging Infections Program special studies go to EIP special studies.
FoodNet Publications / Papers / Presentations
Oregon EIP Foodborne Diseases Active Surveillance Network Publications
Post Diarrheal Hemolytic Uremic Syndrome in Persons Aged 65 and Older in FoodNet Sites.
2000-2006.J Am Geriatr Soc. 2011 Feb;59(2):366-8. Abstract
Laboratory Practices for the Identification of Shiga Toxin-Producing
Escherichia Coli in the United States, FoodNet Sites, 2007.
Foodborne Pathog Dis. 2011 Apr;8(4):555-60. Epub 2010 Dec 27. Abstract
Antimicrobial and Antimotility Agent Use in Persons with Shiga
Toxin-Producing Escherichia Coli O157 Infection in FoodNet Sites.
Clin Infect Dis. 2011 May;52(9):1130-2. Abstract
The Effect of Different Recall Periods on Estimates of Acute
Gastroenteritis in the United States, FoodNet Population Survey 2006–2007.
Foodborne Pathog Dis. 2010 Oct;7(10):1225-8. Abstract
Risk Factors for Sporadic Shigellosis, FoodNet 2005.
FoodbornePathog Dis.2010 Jul;7(7):741-7. Abstract
Methods for Monitoring Trends in the Incidence of Foodborne
Diseases: Foodborne Diseases Active Surveillance Network 1996-2008.
FoodbornePathog Dis.2010 Nov;7(11):1421-6. E pub 2010 Jul 9. Abstract
Application of Bayesian Techniques to Model the Burden of Human Salmonellosis
Attributable to U.S. Food Commodities at the Point of Processing Adaptation of a Danish Podel.
Foodborne Pathog Dis. 2011 Jan 16. [E pub ahead of print]. Abstract
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