ReviewFoods (Basel, Switzerland)2026
A Bibliometric and Systematic Review of Quantitative Microbial Risk Assessment in Food Safety (1995-2024).
Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative microbial risk assessment (QMRA) has become a central framework for evaluating foodborne microbial hazards by integrating microbiological data, exposure assessment, dose-response modelling, and probabilistic simulation. Over the past three decades, its rapid expansion has created challenges in obtaining a coherent overview of the field's structure, dominant themes, and research trajectories. This study presents a bibliometric and systematic review of QMRA research in food safety. Bibliographic data were retrieved from the Scopus database (search conducted in January 2026), including peer-reviewed articles published in English between 1995 and 2024, and analysed using performance analysis and science mapping techniques to assess publication trends, influential contributors, collaboration patterns, and thematic evolution. Risk of bias assessment was not applicable due to the bibliometric nature of the study. The results indicate steady long-term growth of QMRA research, based on a final dataset of 186 articles across multiple journals and countries, with a concentrated influence structure dominated by a limited number of specialised journals, institutions, and research groups. International collaboration is particularly strong within European networks. Thematic analysis identifies probabilistic exposure assessment, Monte Carlo simulation, predictive microbiology, and dose-response modelling as the methodological core, with a primary focus on major foodborne pathogens such as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.