Meta-analysis for quantitative microbiological risk assessments and benchmarking data

Research output: Contribution to journalArticleAcademicpeer-review

31 Citations (Scopus)

Abstract

Meta-analysis studies are increasingly being conducted in the food microbiology area to quantitatively integrate the findings of many individual studies on specific questions or kinetic parameters of interest. Meta-analyses provide global estimates of parameters and quantify their variabilities, and give insight into main influencing factors on parameters. This article discusses the opportunities of meta-analysis to generate sufficiently generic parameters – with their variability – for quantitative microbiological risk assessments, and demonstrates how the output of a meta-analysis can be used to benchmark future studies in order to position new data in perspective
Original languageEnglish
Pages (from-to)34-39
JournalTrends in Food Science and Technology
Volume25
Issue number1
DOIs
Publication statusPublished - 2012

Keywords

  • food safety
  • predictive microbiology
  • listeria-monocytogenes
  • thermal inactivation
  • growth
  • tool
  • temperature
  • information
  • parameters
  • pathogens

Fingerprint

Dive into the research topics of 'Meta-analysis for quantitative microbiological risk assessments and benchmarking data'. Together they form a unique fingerprint.

Cite this