The qraLm R package is designed to conduct quantitative risk assessments (QRA) specifically for Listeria monocytogenes in various food products, including frozen vegetables, ready-to-eat (RTE) diced cantaloupe, and cold-smoked fish. The package was developed as part of the work under the Joint FAO/WHO Expert Meetings on Microbiological Risk Assessment (JEMRA).
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Dose-Response Models: The package includes models to assess the risk based on different strain virulence and population susceptibility (age, health conditions).
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Monte Carlo Simulations: It supports simulations to estimate risks at various stages of the food production chain, from processing to consumer handling practices.
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Specific Food Pathways: Different modules represent distinct pathways for contamination and risk for each food type, such as blanching, packaging, and defrosting in frozen vegetables, or cross-contamination and processing stages in cold-smoked fish and cantaloupe.
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Shiny Application: A built-in Shiny app allows users to interactively simulate risk assessments for different food types and contamination scenarios.
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You can install
qraLm
from GitHub: https://github.com/WorldHealthOrganization/qraLm using thedevtools
package, with the R code below. -
You must first install the
doseresponsemodels
package from github: https://github.com/WorldHealthOrganization/DRLm/, which implements the dose-response models for Listeria monocytogenes. -
For Windows users it is recommended to install Rtools: https://cran.r-project.org/bin/windows/Rtools/ before.
-
The packages on which
qraLm
depends are:Hmisc
,extraDistr
,mc2d
,matrixStats
,DT
,dplyr
,ggplot2
,plotly
,doseresponsemodels
andBH
; you should install them before installingqraLm
.
if (!require("devtools")) install.packages("devtools")
devtools::install_github("https://github.com/WorldHealthOrganization/DRLm/")
devtools::install_github("https://github.com/WorldHealthOrganization/qraLm")
You can find the vignettes at the qraLm
website:
https://github.com/WorldHealthOrganization/qraLm/.
You can report bugs at: https://github.com/WorldHealthOrganization/qraLm/issues.