Skip to contents

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).

Key Features:

  • Dose-Response Models: The package includes models to assess the risk based on different strain virulence and population susceptibility (age, health conditions).

  • Monte Carlo Simulations: It supports simulations to estimate risks at various stages of the food production chain, from processing to consumer handling practices.

  • 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.

  • Shiny Application: A built-in Shiny app allows users to interactively simulate risk assessments for different food types and contamination scenarios.

Installation


if (!require("devtools")) install.packages("devtools")
devtools::install_github("https://github.com/WorldHealthOrganization/DRLm/")
devtools::install_github("https://github.com/WorldHealthOrganization/qraLm")

Using qraLm

You can find the vignettes at the qraLm website: https://github.com/WorldHealthOrganization/qraLm/.

Reporting bugs

You can report bugs at: https://github.com/WorldHealthOrganization/qraLm/issues.