The Salmonella_Predictions.xls Excel add-in has been developed at the Institute of Food Research, Norwich, UK under European funding (BIOTRACER project). The software is a complementing tool for bio-tracing in the pork chain by predicting the dependence of Salmonella concentration on the environment. Probabilistic and kinetics models are combined to give predictions on the concentration of Salmonella spp. at any stage of the pork chain under fluctuating pH, Aw and/or temperature. Predictions can be obtained between 0-30°C, 2.5 - 7 pH  and 0.78-1 for Aw. Data to fit the models were obtained from the ComBase database.

This section contains a description of some of the software routines used in preparing the Listeria monocytogenes risk assessment (Quantitative Assessment of Relative Risk to Public Health from Foodborne Listeria monocytogenes Among Selected Categories of Ready-to-Eat Foods) for all modeling used in the risk assessment. 

A Monte Carlo simulation model was developed for the V. parahaemolyticus risk assessment to capture the variability and uncertainty of the description of the processes associated with V. parahaemolyticus densities in oysters, the effects of oyster harvesting, consumer consumption, and human response to the pathogen. The model simulations were implemented in @Risk (Palisade). All of the calculations were performed by the Monte Carlo method of resampling from specified input distributions and appropriately combining the sampled values to generate the corresponding output distributions. The model is available for download.

This website provides the risk assessments completed by the Food Safety and Inspection Service (FSIS). FSIS also makes its risk assessment models publically available, and the Interagency Risk Assessment for the Public Health Impact of Highly Pathogenic Avian Influenza Virus in Poultry, Shell Eggs, and Egg Products (May 2010) risk assessment model for shell eggs is available as an excel file for download and use. The full risk assessment report is also available through this link. 

The present risk assessment was created as part of a study to assess the public health risk due to Listeria monocytogenes in Australian made processed meat products, more specifically lunch meats, pâtés/liverwursts and cooked sausages. The model predicts the concentrations of L. monocytogenes on products at the time of consumption using industry and other survey data augmented by predictive microbiology models. The model performs calculations in seven stages: 1. Storage at the processing plant; 2. Transport: Processor to Retail Distribution Centre; 3. Storage at Retail Distribution Centre; 4. Retail Display; 5. Transport: Retail – Consumer. 6. Storage by Consumer (Package unopened) and; 7. Consumer by Consumer after Package opened. This @Risk model can be found on this website. 

Following a request from the European Commission (EC), the Panel on Biological Hazards (BIOHAZ) was asked to deliver a scientific opinion on the revision of the Quantitative Risk Assessment (QRA) of the Bovine Spongiform Encephalopathy (BSE) risk posed by Processed Animal Proteins (PAPs).

In this FoodRisk Exclusive, the authors developed a simplified QMRA model especially aimed at comparing the risk of pathogen–food product combinations. The swift Quantitative Microbiological Risk Assessment (sQMRA) – tool is implemented in Microsoft Excel. Special attention is given to make the sQMRA tool insightful, for educational purposes. Like in full-scale QMRA, pathogen numbers are followed through the food chain, which in this case starts at retail and ends with the number of human cases of illness. The model is deterministic and includes cross-contamination and preparation (heating) in the kitchen and a dose–response relationship. Please see the original article publication in the FoodRisk database, as well.

Database of EPA's environmental models. Models can be searched by keyword or browsed based on certain environmental indicators. Includes general information about the model, links to the model's homepage if available, user information, and information on the science behind the model

Computer simulation model for estimating the way that changes in food handling practices at the retail, foodservice, or household level may affect the incidence of food-borne illness in the US. Downloadable files for the model, a user's guide, backgrounder, and final report are available

Model and database system for estimating dietary exposure to chemical residues. Data is included from government-sponsored national food intake surveys and chemical residue monitoring programs. The user can add additional foods or chemicals and associated data, and the user can import food diaries for exposure analysis. There is also an option to include exposure from tap water

This software tool, developed for the Office of Research and Development, Environmental Protection Agency, is for use in quantifying variability and uncertainty in quantitative analysis. The tool was presented at the Society for Risk Analysis Annual Meeting in New Orleans, LA, in a workshop entitled "Bootstrap Simulation and Two- Dimensional Monte Carlo Simulation: Dealing with Variability and Uncertainty, Mixture Distributions, Measurement Error, and Censored Data." The software is available to download, as is a user's manual, technical documentation, workshop handouts and slides, and a paper entitled "Quantification of variability and uncertainty using mixture distributions: evaluation of sample size, mixing weights and separation between components"

Software program for conducting probabilistic microbial risk assessment. The program was developed by Exponent together with the Food and Drug Administration, and consists of a Contamination and Growth Module and an Exposure Module. Data from the U.S. Department of Agriculture's Continuing Survey of Food Intakes by Individuals (CSFII) 1994-96, 98 are included in the program. A users manual, containing both installation and use guidelines, is provided