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Title:Home | ICRA

Description:Home FDA-iRISK is a web-based system designed to analyze data concerning microbial and chemical hazards in food and return an estimate of the resulting health burden on a population level

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ICRA Interactive online Catalogue on Risk Assessment Navigation Home View/Compare Models Sign Up Admin Help Contact Welcome to The Interactive online Catalogue on Risk assessment (ICRA)! ICRA was funded by the National Institute for Food and Agriculture (NIFA) of the United States Department of Agriculture. It is a partnership between the National Institute for Public Health and Environment (RIVM) in the Netherlands, the National Food Institute (DTU Food) at the Technical University of Denmark, and the Joint Institute for Food Safety and Applied Nutrition (JIFSAN) at the University of Maryland. ICRA serves as a web tool offering a dynamic model catalogue for existing microbial risk assessments for risk assessors aiming to develop their own models. ICRA allows users to compare and contrast models from the same pathogen and/or commodity. ICRA relies on contributions from risk assessors and modelers around the world to submit their models, populating the online catalogue. Therefore, we would like to invite you to upload your model! Don’t worry: once your model is “live” on ICRA, you can always come back to revise or even remove it if you would like. We have developed online tutorials to take you through the basic steps needed to enter your models. There is also a user guide that we recommend you peruse in case you have questions about the ICRA terms and hierarchy. We hope you find it straight forward and easy to understand. Please do not hesitate to contact us if you have any questions or comments. We hope you find ICRA to be a valuable tool to which you are willing to contribute. On behalf of RIVM, DTU Food, and JIFSAN, I would like to thank you for your time and valuable collaboration. We invite you to explore the models currently in ICRA, as well as to sign up to enter your own models! Admin Version 1.3 © 2011 University of Maryland...

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