ArticleFrontiers in microbiology2021
Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Towards a Sustainable Food Supply Chain: Digital Transformation via Blockchain, IoT and AI.Food science & nutrition · 2026Review
- Artificial Intelligence in Postharvest Food Safety Control of Animal-Source Foods: Evidence Thresholds, Validation, and Regulatory Applicability.Veterinary sciences · 2026Review
- Current Concepts in Probiotic Safety and Efficacy.Nutrients · 2026Review
- Construction and empirical testing of a verifiable food safety complaint risk-triage model using human foods complaint system data from the United States Food and Drug Administration.Frontiers in nutrition · 2026Article
- Application of Machine Learning in Food Safety Risk Assessment.Foods (Basel, Switzerland) · 2025Review
- How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review.Annals of the New York Academy of Sciences · 2025Article
- Advancing microbial risk assessment: perspectives from the evolution of detection technologies.NPJ science of food · 2025Review
- Prospective effects of food safety trust on brand evangelism: a moderated-mediation role of consumer perceived ethicality and brand passion.BMC public health · 2023Article
- Towards Ideal Health Ecosystem With Artificial Intelligence-Driven Medical Services in India: An Overview.Cureus · 2023Review
- Research on the Construction of Grain Food Multi-Chain Blockchain Based on Zero-Knowledge Proof.Foods (Basel, Switzerland) · 2023Article
- Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets.Current research in food science · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foodborne pathogens are a major contributor to foodborne illness worldwide. The adaptation of a more quantitative risk-based approach, with metrics such as Food safety Objectives (FSO) and Performance Objectives (PO) necessitates quantitative inputs from all stages of the food value chain. The potential exists for utilization of big data, generated through digital transformational technologies, as inputs to a dynamic risk management concept for food safety microbiology. The industrial revolution in Internet of Things (IoT) will leverage data inputs from precision agriculture, connected factories/logistics, precision healthcare, and precision food safety, to improve the dynamism of microbial risk management. Furthermore, interconnectivity of public health databases, social media, and e-commerce tools as well as technologies such as blockchain will enhance traceability for retrospective and real-time management of foodborne cases. Despite the enormous potential of data volume and velocity, some challenges remain, including data ownership, interoperability, and accessibility. This paper gives insight to the prospective use of big data for dynamic risk management from a microbiological safety perspective in the context of the International Commission on Microbiological Specifications for Foods (ICMSF) conceptual equation, and describes examples of how a dynamic risk management system (DRMS) could be used in real-time to identify hazards and control Shiga toxin-producing
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Registered trials
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