approved
Toy Model for Testing
Tags
Data and Resources
To access the resources you must log in
-
201912090711_QMRAsalmonella_egg_VirginieFSKX
Download file here
The resource: '201912090711_QMRAsalmonella ...' is not accessible as guest user. You must login to access it! -
execute immediatelyURL
execute model in VRE
The resource: 'execute immediately' is not accessible as guest user. You must login to access it! -
execute with new simulation parametersURL
Change simulation parameters before running the model
The resource: 'execute with new ...' is not accessible as guest user. You must login to access it!
Model scope
| Field | Value |
|---|---|
| Hazard | Monoammonium glutamate |
| Hazard | Salmonella Daarle |
| Hazard | norovirus Norwalk like virus |
| Population | human consumer men |
| Population | human consumer adult |
| Population | human consumer no age specification |
| Product | Meat preparations of meat offals blood animal fats fresh chilled or frozen salted in brine |
| Product | Tomatoes |
| Product | Lettuce |
Model parameters
| Field | Value |
|---|---|
| Input Parameter | r: dimensionless( DOUBLE), Default: 0.086 |
| Input Parameter | eta: kcal/portion( DOUBLE), Default: 0.00255 |
| Input Parameter | beta: Inertia( DOUBLE), Default: 0.055 |
| Input Parameter | alpha: month( DOUBLE), Default: 0.04 |
| Input Parameter | Dose_matrix: kGy/h( FILE), Default: as.matrix(read.table(file =Dose_matrix.csv,sep=,, header = TRUE, row.names=1)) |
| Output Parameter | prev1000: Bq/L( DOUBLE) |
| Output Parameter | prev100: objects/g( DOUBLE) |
| Output Parameter | prev18: g/daily portion( DOUBLE) |
| Output Parameter | meanPos: month( DOUBLE) |
| Output Parameter | nIll: mg( DOUBLE) |
| Output Parameter | nInf: PFU/25g( DOUBLE) |
Additional Info
| Field | Value |
|---|---|
| Model Author | Mosley, Steve, mosley@nyu.org |
| Model Creator | Parker, Peter, peter.parker@parker.com |
| Model Creator | Romanov, Natalia, black_widow@marvel.com |
| Model ID | Toy_Model_Generic_01 |
| Model Language | R 3 |
| ReadMe | This model is made available in the FSK-ML format, i.e. as .fskx file. To execute the model or to perform model-based predictions it is recommended to use the software FSK-Lab. FSK-Lab is an open-source extension of the open-source data analytics platform KNIME. To install FSK-Lab follow the installation instructions available at: https://foodrisklabs.bfr.bund.de/fsk-lab_de/. Once FSK-Lab is installed a new KNIME workflow should be created and the FSKX Reader node should be dragged into it. This FSKX Reader node can be configured to read in the given .fskx file. To perform a model-based prediction connect the out-port of the FSKX Reader node with the FSK Simulation Configurator JS node to adjust if necessary input parameters and store this into a user defined simulation setting, After that connect the output port with the input of a FSK Runner node that perform the simulation and look at the results at the node's outport.This is a Readme file. |
| Reference Description | Bourne Identity DOI: 10.5072/zenodo.219114 |
| Reference Description | Dose Response Models For Infectious Gastroenteritis DOI: 10.1111/j.1539-6924.1999.tb01143.x |
| Reference Description | Norwalk virus: How infectious is it? DOI: 10.1002/jmv.21237 |
| Reference Description | Quantitative Risk Assessment of Norovirus Transmission in Food Establishments: Evaluating the Impact of Intervention Strategies and Food Employee Behavior on the Risk Associated with Norovirus in Foods DOI: 10.1111/risa.12758 |
| system:type | FSKXModel |
Management Info
| Field | Value |
|---|---|
| Author | thomas_schueler |
| Last Updated | 20 July 2022, 23:00 (CEST) |
| Created | 19 January 2021, 19:44 (CET) |