Attributing Illness to Food

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Batz, Michael B. ; Doyle, Michael P. ; Morris, J. Glenn ; Painter, John ; Singh, Ruby ; Tauxe, Robert V. ; Taylor, Michael R. ; Wong, Danilo M.A. Lo Fo
• Corporate Authors:
  for the Food Attribution Working Group
• Description:
  Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other source responsible for illness. A wide variety of food attribution approaches and data are used around the world, including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored the Food Attribution Data Workshop in October 2003 to discuss the virtues and limitations of these approaches and to identify future options for collecting food attribution data in the United States. We summarize workshop discussions and identify challenges that affect progress in this critical component of a risk-based approach to improving food safety.
• Subjects:
  Disease Outbreaks Food Contamination Humans Perspective Population Surveillance
• Source:
  Emerg Infect Dis. 11(7):993-999.
• Document Type:
  Journal Article
• Name as Subject:
  Centers for Disease Control and Prevention (U.S.) ; Centers for Disease Control and Prevention (U.S.)
• Place as Subject:
  Denmark ; Great Britain ; United States
• Location:
  Europe ; North America
• Volume:
  11
• Issue:
  7
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:0aa918a0d290aa80a58fc48d9dc041a6593a35d506656715ac319aabfa8f714a
• Download URL:
  https://stacks.cdc.gov/view/cdc/10795/cdc_10795_DS1.pdf
• File Type:
  [PDF - 87.18 KB ]