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Peer reviewedOpen accessCOVID-19

Building Resilient Agricultural Value Chains in the Global South Post COVID-19

COVID·

Lesego Sekwati, Mavis Kolobe, Malebogo Bakwena

DOI
10.3390/covid6080148
PMID
PMCID
OpenAlex
Study type
Journal article
Publisher
MDPI AG
Article type
journal-article
Integrity
current

Why this research matters now

The work addresses food security, a key public health concern, by linking pandemic-related value chain disruption in the Global South to policy options for resilience.

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Structured evidence summary

Research question

The paper examines how the COVID-19 pandemic disrupted agricultural value chains in the Global South and how resilience can be strengthened through policy.

Study design

Systematic literature review proposing policy paths based on the synthesis.

Population and setting

Agricultural value chains in the Global South, framed within the four dimensions of food security.

Main findings

The pandemic worsened food insecurity in the Global South and exposed vulnerabilities across production, processing, and distribution. Resilience in agricultural value chains is described as a dynamic outcome of ecosystem governance rather than an intrinsic trait. The authors argue that policy should move beyond input subsidies toward digital financial tools and formalized relational governance that link farmers to formal markets.

Public-health relevance

The work addresses food security, a key public health concern, by linking pandemic-related value chain disruption in the Global South to policy options for resilience.

Important limitations

This summary is limited to the supplied single-article abstract and metadata; the original paper is required for decision-grade interpretation of the systematic review's scope, search strategy, and evidence base.

GIDS interpretation

The article is indexed under COVID-19 and health policy topics, which may aid discoverability of evidence on pandemic-related food system impacts; no connection to a live surveillance signal can be inferred from the supplied metadata.

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Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

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Evidence relationships

This article has 7 auditable classifier relationships to diseases, places, topics, and study design.

about diseaseaddresses topichas pathogen typeinforms policy domainstudied population settingstudies pathogenuses study design