approved
Dose-response model for Campylobacter jejuni

The dose-response model provides the probability of infection and illness as a function of the exposure, i.e., the ingested dose of Campylobacter jejuni. Model parameters are based on datasets from human and primate challenge studies and outbreaks.The objective of the model is to estimate the probability of infection and illness after ingestion of a dose of Campylobacter jejuni.

Tags
Data and Resources
To access the resources you must log in
  • CampylobacterDRMFSKX

    Download file here

    The resource: 'CampylobacterDRM' 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 Campylobacter jejuni
Population General population or outbreaks
Product Any product
Model parameters
Field Value
Input Parameter Covariance of (w2, z2): []( DOUBLE), Default: 0.184
Input Parameter Variance of z2: []( DOUBLE), Default: 0.995
Input Parameter Variance of w2: []( DOUBLE), Default: 40.99
Input Parameter Mean of z2: []( DOUBLE), Default: -0.0086
Input Parameter Mean of w2: []( DOUBLE), Default: 6.241
Input Parameter Covariance of (w1, z1): []( DOUBLE), Default: -0.053
Input Parameter Variance of z1: []( DOUBLE), Default: 1.003
Input Parameter Variance of w1: []( DOUBLE), Default: 1.404
Input Parameter Mean of z1: []( DOUBLE), Default: 0.017
Input Parameter Mean of w1: []( DOUBLE), Default: -0.226
Input Parameter Covariance of (w2, z2): []( DOUBLE), Default: 0.01
Input Parameter Variance of z2: []( DOUBLE), Default: 0.993
Input Parameter Variance of w2: []( DOUBLE), Default: 1.337
Input Parameter Mean of z2: []( DOUBLE), Default: -0.00489
Input Parameter Mean of w2: []( DOUBLE), Default: -2.744
Input Parameter Covariance of (w1, z1): []( DOUBLE), Default: -0.041
Input Parameter Variance of z1: []( DOUBLE), Default: 1.07
Input Parameter Variance of w1: []( DOUBLE), Default: 1.303
Input Parameter Mean of z1: []( DOUBLE), Default: 0.054
Input Parameter Mean of w1: []( DOUBLE), Default: -0.177
Input Parameter Analysis done on the basis of challenge study data or outbreak data: []( BOOLEAN), Default: TRUE
Input Parameter Probability of exposure: [Probability]( DOUBLE), Default: 1
Input Parameter Number of parameter simulations: []( INTEGER), Default: 50
Input Parameter Doses: CFU( DOUBLE), Default: rep(1,10000)
Output Parameter Mean probability of infection for each simulation over all doses: [Probability]( VECTOROFNUMBERS)
Output Parameter Mean probability of illness for each simulation over all doses: [Probability]( VECTOROFNUMBERS)
Additional Info
Field Value
Model Author Swart, Arno,
Model Author Porter, Chad K. ,
Model Author Tribble, David R.,
Model Author Bonacic Marinovic, Axel,
Model Author Teunis, Peter F.M., [email protected]
Model Creator Teunis, Peter F.M., [email protected]
Model Creator Swart, Arno , [email protected]
Model Creator Sundermann, Esther M., [email protected]
Model Creator Nauta, Maarten , [email protected]
Model Creator Georgiadis, Stylianos, [email protected]
Model Creator Bonacic Marinovic, Axel, [email protected]
Model ID CampylobacterDRTeunis2018
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 model is published on: Teunis, P. F., Marinovi��, A. B., Tribble, D. R., Porter, C. K., & Swart, A. (2018). Acute illness from Campylobacter jejuni may require high doses while infection occurs at low doses. Epidemics, 24, 1-20.Please, when applying the model, make reference to the paper above.
Reference Description Acute illness from Campylobacter jejuni may require high doses while infection occurs at low doses DOI: https://doi.org/10.1016/j.epidem.2018.02.001
system:type FSKXModel
Management Info
Field Value
Author thomas_schueler
Last Updated 21 July 2022, 19:04 (CEST)
Created 20 January 2021, 16:04 (CET)