Evidence map›Paper›PMID 41684709›Full record

ArticleCurrent research in food science2026

Network dynamics of international food waste trade: Evidence from the COVID-19 disruption.

Navid Mohammadi, Mehrdad Maghsoudi

Abstract read
In one paragraph

Article in Current research in food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Navid MohammadiCollege of Management, University of Tehran, Tehran, Iran.
Mehrdad MaghsoudiManagement and Accounting Faculty, Shahid Beheshti University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a comprehensive network analysis of global food waste management trade patterns before and after the COVID-19 pandemic. Using World Bank export data from 2015 to 2024, we construct directed, weighted networks to examine structural transformations in international trade relationships. Our analysis reveals three key findings: first, while network density and connectivity remained stable, we observed a 9% decrease in average trade volume post-pandemic, suggesting supply chain recalibration. Second, centrality metrics demonstrate the continued dominance of the United States and European nations, though with emerging economies like India and Brazil forming new strategic alliances. Third, community detection algorithms identify a significant reorganization of trade blocs, particularly the formation of a distinct Emerging Economies cluster separate from traditional Western networks. These findings contribute to ongoing discussions about resilience in global food systems, offering empirical evidence of how major disruptions reshape trade relationships while maintaining core structural integrity. The study provides policymakers with quantitative insights for developing more robust food waste management strategies within the circular economy framework.

Indexed as

Circular economyCOVID-19Food waste managementInternational tradeNetwork analysis

Identifiers

PMID41684709
PMCPMC12891872

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.