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BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards
BIKE is a Bayesian dietary exposure assessment model for microbiological and chemical hazards. A graphical user interface was developed for running the model and inspecting the results. It is based on connected Bayesian hierarchical models, utilizing OpenBUGS and R in tandem. According to occurrence...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621415/ https://www.ncbi.nlm.nih.gov/pubmed/34828801 http://dx.doi.org/10.3390/foods10112520 |
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author | Ranta, Jukka Mikkelä, Antti Suomi, Johanna Tuominen, Pirkko |
author_facet | Ranta, Jukka Mikkelä, Antti Suomi, Johanna Tuominen, Pirkko |
author_sort | Ranta, Jukka |
collection | PubMed |
description | BIKE is a Bayesian dietary exposure assessment model for microbiological and chemical hazards. A graphical user interface was developed for running the model and inspecting the results. It is based on connected Bayesian hierarchical models, utilizing OpenBUGS and R in tandem. According to occurrence and consumption data given as inputs, a specific BUGS code is automatically written for running the Bayesian model in the background. The user interface is based on shiny app. Chronic and acute exposures are estimated for chemical and microbiological hazards, respectively. Uncertainty and variability in exposures are visualized, and a few optional model structures can be used. Simulated synthetic data are provided with BIKE for an example, resembling real occurrence and consumption data. BIKE is open source and available from github. |
format | Online Article Text |
id | pubmed-8621415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86214152021-11-27 BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards Ranta, Jukka Mikkelä, Antti Suomi, Johanna Tuominen, Pirkko Foods Article BIKE is a Bayesian dietary exposure assessment model for microbiological and chemical hazards. A graphical user interface was developed for running the model and inspecting the results. It is based on connected Bayesian hierarchical models, utilizing OpenBUGS and R in tandem. According to occurrence and consumption data given as inputs, a specific BUGS code is automatically written for running the Bayesian model in the background. The user interface is based on shiny app. Chronic and acute exposures are estimated for chemical and microbiological hazards, respectively. Uncertainty and variability in exposures are visualized, and a few optional model structures can be used. Simulated synthetic data are provided with BIKE for an example, resembling real occurrence and consumption data. BIKE is open source and available from github. MDPI 2021-10-20 /pmc/articles/PMC8621415/ /pubmed/34828801 http://dx.doi.org/10.3390/foods10112520 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ranta, Jukka Mikkelä, Antti Suomi, Johanna Tuominen, Pirkko BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title | BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title_full | BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title_fullStr | BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title_full_unstemmed | BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title_short | BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards |
title_sort | bike: dietary exposure model for foodborne microbiological and chemical hazards |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621415/ https://www.ncbi.nlm.nih.gov/pubmed/34828801 http://dx.doi.org/10.3390/foods10112520 |
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