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Understanding Food Attribution Data for Better Illness Risk Management

This initiative emphasizes the importance of food attribution data to improve public health outcomes. By utilizing objective, quantifiable information, we can enhance our understanding of the relationship between specific food-pathogen combinations and their associated health risks. This data-driven approach allows for better prioritization and allocation of limited resources while scientifically justifying risk assessment assumptions. The need for robust food attribution data has long been recognized, as highlighted by organizations like the IOM/NRC.

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Understanding Food Attribution Data for Better Illness Risk Management

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