A recent case study from the Sapienza University of Rome examined the surveillance of foodborne pathogens through a One Health lens in Europe, with a specific focus on the One Health European Joint Program (OHEJP) MATRIX Project framework.
The European Food Safety Commission (EFSA) has published guidelines for reporting whole genome sequencing (WGS) data to its One Health WGS System, which will support outbreak investigations and other EFSA activities.
The U.S. Food and Drug Administration, the U.S. Centers for Disease Control and Prevention, and the U.S. Department of Agriculture have developed a collaborative approach to improve the coordination of multistate outbreak investigations.
Opportunities exist for the use of data science in preventing and mitigating foodborne disease outbreaks, often using publicly accessible data. This article examines machine learning/data science approaches, including whole-genome sequencing, to enhance food safety.