Attributing U.S. Campylobacteriosis Cases to Food Sources, Season, and Temperature

by Sandra Hoffmann, Lydia Ashton, Jessica E. Todd, Jae-Wan Ahn, and Peter Berck

ERS researchers used Homescan© daily consumer food purchase data to present a new approach to understanding which foods cause specific foodborne illnesses in the United States. More than 90 percent of the country's foodborne illnesses are sporadic and may have different food exposure routes than outbreak cases; therefore, this approach was tested on foodborne sporadic campylobacteriosis.

Keywords: Campylobacter, food source attribution, foodborne illness, big data, FoodNet surveillance, Homescan© purchase data, food exposures, foodborne disease epidemiology, food safety, poultry exposure, berries, leafy greens

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