How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review.
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| Názov: | How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review. |
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| Autori: | Walsh F; Heidelberg Institute of Global Health (HIGH), Medical Faculty and University Hospital, Heidelberg University, Heidelberg, Germany.; Mesurado Cooperative, Boston, Massachusetts, USA., Zhenchuk A; BioAnalyt, Teltow, Germany., Luthringer C; BioAnalyt, Teltow, Germany., Kratz C; BioAnalyt, Teltow, Germany., Schweigert F; BioAnalyt, Teltow, Germany.; Department of Physiology and Pathophysiology, Institute of Nutritional Science, University of Potsdam, Potsdam, Germany. |
| Zdroj: | Annals of the New York Academy of Sciences [Ann N Y Acad Sci] 2025 Oct; Vol. 1552 (1), pp. 78-93. Date of Electronic Publication: 2025 Sep 10. |
| Spôsob vydávania: | Journal Article; Scoping Review; Review |
| Jazyk: | English |
| Informácie o časopise: | Publisher: New York Academy of Sciences Country of Publication: United States NLM ID: 7506858 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1749-6632 (Electronic) Linking ISSN: 00778923 NLM ISO Abbreviation: Ann N Y Acad Sci Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2006- : New York, NY : Malden, MA : New York Academy of Sciences ; Blackwell Original Publication: New York, The Academy. |
| Výrazy zo slovníka MeSH: | Food, Fortified* , Big Data* , Decision Making* , Biofortification*/methods, Humans ; Data Analytics |
| Abstrakt: | 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. (© 2025 The Author(s). Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of The New York Academy of Sciences.) |
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| Grant Information: | Agreement 0143-ISG Government of Canada; Nutrition International; Agreement 2022/1233773-0 International WHO_ World Health Organization |
| Contributed Indexing: | Keywords: artificial intelligence; big data analytics; biofortification; food value chain; large‐scale food fortification; machine learning; nutrition |
| Entry Date(s): | Date Created: 20250910 Date Completed: 20251031 Latest Revision: 20251102 |
| Update Code: | 20251102 |
| PubMed Central ID: | PMC12576868 |
| DOI: | 10.1111/nyas.70028 |
| PMID: | 40930112 |
| Databáza: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | 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.<br /> (© 2025 The Author(s). Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of The New York Academy of Sciences.) |
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| ISSN: | 1749-6632 |
| DOI: | 10.1111/nyas.70028 |