2018 Preliminary Data: Tables

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Documenting the major sources of and trends in foodborne illness provides important information needed to determine whether prevention measures are working. Each year, FoodNet reports on the number of infections in the FoodNet surveillance area from pathogens transmitted commonly through food. Laboratory tests, including cultures for bacteria and culture-independent diagnostic tests (CIDTs) detected these pathogens.

This year’s report summarizes 2018 preliminary surveillance data and describes 2018 incidence compared with 2015–2017 for infections caused by Campylobacter, Cyclospora, Listeria, Salmonella, Shiga toxin-producing Escherichia coli (STEC), Shigella, Vibrio, and Yersinia. The report also summarizes cases of hemolytic uremic syndrome (HUS) for 2017.

Incidence trends

FoodNet uses a main-effects, log-linear Poisson regression (negative binomial) model to estimate changes in the incidence of infection.

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 2015-2017 is used for comparisons. The model is used to calculate the estimated change in incidence (relative rate) between 2018 and the comparison periods, with 95% confidence intervals (CIs).

Table 1. Percentage change in incidence of the top 14 Salmonella serotypes in 2018* compared with 2015–2017 average annual incidence, by serotype, FoodNet
Serotype % Change in Incidence (95% CI)
Enteritidis -10% (-22% to 5%)
Newport +10% (-8% to +33%)
Typhimurium +4% (-9% to +17%)

*Data for 2018 are preliminary.
Percentage change reported as increase (+) or decrease (-). Significant changes indicated in bold.

Table 2. Percentage change in incidence of Shiga toxin-producing E. coli infections in 2018* compared with 2015–2017 average annual incidence, by serogroup, FoodNet, 2015–2018
Serotype % Change in Incidence (95% CI)
O157 -12% (-27% to +7%)
non-O157 +25% (+9% to +44%)

*Data for 2018 are preliminary.
Percentage change reported as increase (+) or decrease (-). Significant changes indicated in bold.

Table 3. Percentage change in incidence of hemloytic uremic syndrome (HUS) cases in 2017* compared with 2014–2016 average annual incidence, by serogroup, FoodNet
Age Group % Change in Incidence Rate (95% CI)
<18 years of age -16% (-38% to +14%)
<5 years of age +3% (-30% to +50%)

*Data for 2017 are preliminary.
Percentage change reported as increase (+) or decrease (-). 

Correction for Figure 1 STEC Graph in MMWR

The figure is a histogram showing the number of Shiga toxin-producing E. coli infections diagnosed by culture or culture-independent diagnostic tests, by pathogen, year, and culture status, during 2015–2018, using data from CDC’s Foodborne Diseases Active Surveillance Network.

Number of Shiga toxin-producing E. coli infections diagnosed by culture or culture-independent diagnostic tests, by pathogen, year, and culture status — FoodNet,* 2015–2018

Year Culture-positive only CIDT-positive, culture-positive CIDT-positive, culture-negative CIDT-positive, culture not done
2015 49 1232 345 159
2016 23 1403 799 225
2017 4 1516 777 292
2018 13 1559 873 480

Abbreviations: FoodNet = CDC’s Foodborne Diseases Active Surveillance Network; CIDT = culture-independent diagnostic test
*Connecticut, Georgia, Maryland, Minnesota, New Mexico, Oregon, Tennessee, and selected counties in California, Colorado, and New York.
Data for 2018 are preliminary.

Get more data

Food Net Fast logo

Take a look at FoodNet Fast, CDC’s interactive online program for information on cases of illness reported to FoodNet.