ArticleAnnals of the New York Academy of Sciences2025
How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review.
Article in Annals of the New York Academy of Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- 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
- Digital tools and technologies used in food fortification: A scoping review.Annals of the New York Academy of Sciences · 2025Article
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
Abstract
Big data analytics have shown great potential to improve decision-making in health, including disease surveillance and healthcare delivery. This scoping review explores how big data supports decision-making in large-scale food fortification (LSFF) and biofortification across the food value chain. Following PRISMA guidelines, we analyzed open-access peer-reviewed literature and gray literature from 2012 to 2022. Given the limited literature, we broadened our search to include big data applications in agriculture and nutrition, aiming to draw relevant insights for LSFF and biofortification. Of 1678 records, 28 mentioned LSFF or biofortification, all published between 2018 and 2022. Overall, most records focused on production (60%) and inputs (19.5%). Notably, 16.7% (n = 7) of records mentioning LSFF or biofortification addressed public health monitoring, compared to 2.3% (n = 45) of those without a mention. Use case examples include blockchain and Internet of Things (IoT) for fortified product traceability, machine learning to predict fortification gaps, and artificial intelligence to analyze anemia prevalence, highlighting opportunities to enhance both production and public health monitoring. Despite this potential, big data use in LSFF and biofortification remains limited. Expanding its use in underexplored areas, such as distribution and regulation, could enhance decision-making, efficiency, and sustainability in LSFF and biofortification.
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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.