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Projects

  • Food Safety Information Infrastructure
    This project is the first phase of a long-term effort to address the many scientific, technical, legal, policy and business issues that currently affect how food safety data are collected and shared.  The goal is to improve public health by facilitating collection of and access to data that many parties in the public and private sectors could use to improve food safety.  The project will include identification and analysis of key issues and active dialogue with stakeholders across the food safety community to gauge interest in collaborating to improve current systems and identify opportunities and obstacles likely to affect future progress.
     
  • Development of computer models for ranking the public health impact of foodborne hazards 
    This project builds on previous work on the risk ranking model by including:  economic valuation of additional pathogens, an addition health valuation index, the Health Utility Index (HUI), uncertainty into model inputs and outputs, a shorthand risk-based food attribution method, the facilitation of consensus development for food categories, and a web-based interface for ease of access and usability
     
  • Prioritizing Opportunities to Reduce Foodborne Risk
    This project begins work on the FSRC’s second stage of decision tools for a more science- and risk-based food safety system to reduce the risk of foodborne disease.  The project has developed a conceptual framework for prioritizing opportunities to reduce risk and  includes approaches for evaluating the cost, effectiveness, and benefits of risk-reduction interventions.  The conceptual model will be presented a National Conference on September 14, 2005.
     
  • The Foodborne Illness Risk Ranking Model
    The FSRC has developed a draft version of the Foodborne Illness Risk Ranking Model (FIRRM), available for download. FIRRM is a decision tool used to examine and compare the public health burden of foodborne illness due to microbiological hazards from specific food commodities. The model includes twenty eight bacteria, viruses, and parasites. Users can rank pathogen-food combinations by different measures of annual disease burden, including estimated cases, hospitalizations, and deaths, as well as by estimated costs of illness and QALY loss.


Food Safety Research Consortium

Mailstop RFF *
1616 P Street NW * Washington, DC  20036
202-939-3420 *
email: mbatz@rff.org