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Data Tables and Figures—2010 Preliminary Data

Facts and Figures related to "Vital Signs: Incidence and Trends of Infection with Pathogens Transmitted Commonly Through Food, Foodborne Diseases Active Surveillance Network (FoodNet), 10 States, 2010" published in the Morbidity and Mortality Weekly Report (MMWR) on June 7, 2011.

The Foodborne Diseases Active Surveillance Network (FoodNet) conducts active population-based surveillance in 10 areas (Connecticut, Georgia, Maryland, Minnesota, New Mexico, Oregon, Tennessee, and selected counties in California, Colorado, and New York) for laboratory-confirmed cases of infection caused by Campylobacter, Cryptosporidium, Cyclospora, Listeria, Salmonella, Shiga toxin-producing Escherichia coli (STEC, including STEC O157), Shigella, Vibrio, and Yersinia.

FoodNet also conducts surveillance for hemolytic uremic syndrome (HUS), a complication of STEC infection characterized by renal failure and microangiopathic hemolytic anemia, through a network of pediatric nephrologists and infection-control practitioners. Hospital discharge data are reviewed to validate HUS diagnoses and verify the presence of diarrhea in the 21 days before HUS onset. This report contains preliminary postdiarrheal HUS data for 2009, rather than for 2010, because additional time is needed to review hospital records.

This web page is a supplement to the report titled "Vital Signs: Incidence and Trends of Infection with Pathogens Transmitted Commonly Through Food, Foodborne Diseases Active Surveillance Network (FoodNet), 10 States, 2010" published in the Morbidity and Mortality Weekly Report (MMWR) on June 7, 2011. To access tables and figures, click on the menu items below.

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Number of Infections and Incidence per 100,000 Persons

Annual incidence is reported as cases per 100,000 persons. Incidence is calculated by dividing the total number of infections with each pathogen by the population in the FoodNet surveillance system for that year.

Results:

All sites, 1996 to 2010
Table 2a. Number of infections [PDF - 1 page]
Table 2b. Incidence per 100,000 persons [PDF - 1 page]

By site, 2010
Table 3a. Number of infections [PDF - 1 pages]
Table 3b. Incidence per 100,000 persons [PDF - 1 pages]

By age group, 2010
Table 4a. Number of infections [PDF - 1 pages]
Table 4b. Incidence per 100,000 persons [PDF - 1 pages]

Table 5. Top 10 Salmonella serotypes, 2010 [PDF - 1 pages]
Table 6. Shiga toxin-producing Escherichia coli serogroups (non-O157), 2010 [PDF - 1 pages]
Table 7. Top Vibrio and other Vibrionaceae species, 2010 [PDF - 1 pages]

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Incidence trends

How are incidence trends examined in FoodNet?

FoodNet uses a main-effects, log-linear Poisson regression (negative binomial) model to estimate changes in the incidence of infection. The model adjusts for the increase in the number of FoodNet sites since 1996 and for variation in the incidence of infections among sites. The average annual incidence for 1) 1996–1998 (1997–1998 for Cryptosporidium), the first years of surveillance, and 2) a more recent 3-year period (2006–2008) are used for comparisons. Prior facts and figures on FoodNet surveillance data from 2008 and 2009 used the preceding 3 years, a moving period, for comparison; this report initiates use of 2006-2008 as a stable comparison period. The model is used to calculate the estimated change in incidence (relative rate) between 2010 and the comparison periods, with 95% confidence intervals (CI). In the figures that report percent change, the percent change for the current year is calculated by comparison with the appropriate comparison period and graphed along with the 95% confidence interval. In the figures that report relative rate, the relative rate for each year is graphed. Trends in STEC non-O157 and Cyclospora infection were not evaluated because of sparse data.

FoodNet also uses the negative binomial model to measure overall trends in incidence. In this model, data for Campylobacter, Listeria, Salmonella, STEC O157, Vibrio, and Yersinia, the bacterial pathogens for which >50% of illnesses are estimated to be transmitted by food, are combined, weighting them by incidence of infection for each pathogen.

By pathogen

Compared with 1996-1998 period
Figure 1. Percent change [PDF - 12 pages]
Figure 2. Relative rates [PDF - 12 pages]
Figure 3. Relative rates [PDF - 12 pages]

Compared with 2006-2008 period
Figure 4. Percent change [PDF - 12 pages]

Summary (both comparison periods)
Table 8. Percent change [PDF - 12 pages]

By Salmonella serotype

Compared with 1996-1998 period
Figure 5. Percent change [PDF - 12 pages]
Figure 6. Relative rates [PDF - 12 pages]
Figure 7. Relative rates [PDF - 12 pages]

Compared with 2006-2008 period
Figure 8. Percent change [PDF - 12 pages]

Summary (both comparison periods)
Table 9. Percent change [PDF - 12 pages]

Overall change in incidence

Overall change for 2010
Table 10. Percent change [PDF - 12 pages]
Figure 9. Relative rates [PDF - 12 pages]

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Hospitalizations

How is percentage of hospitalization calculated?

The percentage of hospitalization is calculated as follows:

The quantity of the number of case-patients reported to FoodNet in 2010 that were hospitalized divided by the number of cases reported to FoodNet in 2010 times 100

Patients are considered to have been hospitalized if hospitalization occurs at any time within 7 days of the specimen collection date.

Results:

Overall, 2010
Table 11. Number and percentage of hospitalizations [PDF - 1 pages]

By age group, 2010
Table 12. Number and percentage of hospitalizations [PDF - 1 pages]

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Case Fatality Ratios

How is the case fatality ratio calculated?

The case fatality ratio is calculated as follows:

The quantity of the number of case-patients reported to FoodNet in 2010 that were hospitalized divided by the number of cases reported to FoodNet in 2010 times 100

Patients' vital status is recorded at hospital discharge (if hospitalized) or at 7 days after the specimen collection date (if not hospitalized).

Results:

Overall, 2010
Table 13. Number of deaths and case fatality ratio [PDF - 1 pages]

By age group, 2010
Table 14. Number of deaths and case fatality ratio [PDF - 1 pages]

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