Epidemiological Data Mining for Assisting with Foodborne Outbreak Investigation.

ABSTRACT: Diseases caused by the consumption of food are a significant but avoidable public health issue, and identifying the source of contamination is a key step in an outbreak investigation to prevent foodborne illnesses. Historical foodborne outbreaks provide rich data on critical attributes such as outbreak factors, food vehicles, and etiologies, and an improved understanding of the relationships between these attributes could provide insights for developing effective food safety interventions. The purpose of this study was to identify hidden patterns underlying the relations between the critical attributes involved in historical foodborne outbreaks through data mining approaches. A statistical analysis was used to identify the associations between outbreak factors and food sources, and the fac

SUBMITTER: Tao D 

PROVIDER: S-EPMC10606626 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature