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Stochastic Human Exposure and Dose Simulation (SHEDS)
SHEDS models are probabilistic models that estimate human chemical exposures from inhalation, skin contact, and dietary and non-dietary ingestion. Estimates are based on available data on dietary consumption, human activity, and chemical levels in food, water, air and on surfaces. The models can generate predictions of aggregate (single chemical) and cumulative (multiple chemicals) exposures over time to improve risk assessments.
Environmental Protection Agency
Cumulative and Aggregate Risk Evaluation System Next Generation (CARES NG)
CARES NG is a probabilistic model used to estimate aggregate (single chemical) and cumulative (multiple chemicals) exposure to pesticides from multiple routes and sources. Its dietary module estimates dietary exposure from pesticide residues in food or drinking water using algorithms that incorporate EPA/OPP guidance. The module can estimate exposure and cancer risk for different populations and different time frames (acute, multi-day, chronic).
Cumulative and Aggregate Risk Evaluation System Next Generation
The Food Handling Practices Model (FHPM)
In September of 2007, the FDA’s Center for Food Safety and Applied Nutrition (CFSAN) contracted with Eastern Research Group, Inc. (ERG) to update its Food Handling Practices Model (FHPM) originally developed by RTI International. The model allows the FDA to estimate the effects of various retail and household practices on the incidence of foodborne illness (FBI).
FDA Labeling Cost Model
FDA contracted with (Research Triangle Institute) RTI to update RTI's 1990 labeling cost model to make the model more relevant for the types of analyses currently conducted by FDA. This report provides background information on the process of changing the labeling information on food packaging, a description of the revised cost estimates used in the model, a description of the underlying assumptions and calculations used in developing the model, and instructions for working with the model to obtain specific cost estimates.
Cost of Reformulating Foods and Cosmetics
Foods and cosmetics are examples of regulated products which are sometimes reformulated in response to changes in the marketplace or regulatory environment. RTI and the Economics Team at the FDA’s Center for Food Safety and Applied Nutrition (CFSAN) produced this model, based on the earlier labeling cost model, to help estimate the costs incurred in reformulation due to changes in regulations. The report provides information on the process of reformulation and a description of the underlying assumptions and calculations used in developing the model
Improved swift Quantitative Microbiological Risk Assessment (sQMRA) methodology
We developed an improved simplified Quantitative Microbiological Risk Assessment (QMRA) model and tool with reduced data need, applicable to any pathogen - food product combination and in addition suitable for basic QMRA education. The swift QMRA (sQMRA2) – model follows pathogen numbers through part of the food chain, starting at the retail phase, and ends with the estimated number of human cases of illness.
USDA Food Code Selector
Simplified Tool for Picking Food Codes from NHANES
The United States Department of Agriculture (USDA) Food Code Selector simplifies the process of extracting consumption information from What We Eat in America (WWEIA), the dietary component of the National Health and Nutrition Examination Surveys (NHANES). This tool allowsfiltering of NHANES data via direct selection from 8,000+ foods using a streamlined user-friendly interface. This Microsoft Excel-based tool decreases dependence on 3rd party software and allows for transparency and accessibility with the tool's traceable decision logic.
Pathogen Modeling Program (PMP)
The US Department of Agriculture-Agricultural Research Service (USDA-ARS) Pathogen Modeling Program (PMP) is produced at the USDA-ARS Eastern Regional Research Center (ERRC) in Wyndmoor, Pennsylvania. The PMP is a package of models that can be used to predict the growth and inactivation of foodborne bacteria, primarily pathogens, under various environmental conditions.
United States Department of Agriculture
Agricultural Research Service
Agricultural Research Service