Burden of Foodborne Illness: Improvements
Improvements in data and methodology compared with 1999 study
The 1999 estimates used the best data sources and methods available at the time. The current estimates use better data sources and methods. These improvements explain most of the differences between the two sets of estimates.
Because of investments in the FoodNet Population Survey, three surveys were available for the current estimates: for 2000–01, 2002–03, and 2006–07. The combined sample size from these surveys was more than 48,000 households—five times that for the previous estimates. Larger sample sizes typically result in more precise data.
Some illnesses reported in the United States are caused by contaminated food or water or other sources encountered in other countries during travel. The current estimates focus on foodborne illnesses that occurred from food consumed in the United States. This is important because efforts to improve food safety in the United States can only affect the burden of illness caused by food consumed here.
Improved data on the fraction of norovirus that is foodborne
In the current estimates, the fraction of norovirus illnesses estimated to be foodborne was 26%, based on data from recently reported outbreaks. In previous estimates, this fraction was estimated to be 40%, but it was based on data that had substantial limitations.
Because norovirus causes millions of illnesses, the reduction in the proportion considered to be foodborne means a sizeable reduction in the estimated proportion of foodborne illnesses from the 24 known gastroenteritis pathogens—from 36% to 25%.
For previous estimates, researchers assumed that infections with similar symptoms (such as Salmonella and Yersinia) had similar levels of under-diagnosis. Therefore, a general multiplier was applied to estimates of similar illnesses, even though there could be differences. For the 2011 estimates, specific multipliers were developed for the 31 known pathogens. These multipliers were based on several factors, including:
Developing specific multipliers for the 31 known pathogens yielded more accurate estimates for each known pathogen and, ultimately, greater accuracy in the overall estimate of foodborne illness.
Accounted for uncertainty
CDC used many data sources, with varying degrees of reliability, to estimate foodborne illnesses, hospitalizations, and deaths. For each estimate, CDC used a formula to account for the cumulative effect of all uncertainties in the data inputs. The results were upper and lower 90% credible limits, or a 90% credible interval. This means there is a 90% confidence level that the actual number fell within the range of that lower and upper limit. In previous estimates, this was not calculated.
Need for improvements and innovations remains
Future investments and innovations in surveillance and data analysis could help increase the accuracy of estimates. Future efforts can also be directed toward quantifying the illnesses caused by long-term effects of foodborne infections and toxins and to estimate the economic costs associated with foodborne illness.
Although investments made during the decade before the most recent estimates resulted in improvements and innovations and more accurate estimates, limitations remain that need to be addressed. For example:
- More detailed information on norovirus from improved surveillance and special studies in the United States will better inform future estimates. Most of the data underlying the norovirus estimates is from other countries.
- Improved information on the cases of acute gastroenteritis that are reported during FoodNet survey telephone interviews will be needed to help discern whether they might be caused by noninfectious conditions.
- Better methods may be devised to estimate the degree of underreporting of hospitalizations and deaths.
- Methods to estimate illnesses that do not result in gastroenteritis may be improved.
- Page last reviewed: July 13, 2016
- Page last updated: July 13, 2016
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