Evidence map›Paper›PMID 33658743›Full record

ArticleAgricultural systems2021

Immediate impacts of COVID-19 pandemic on bean value chain in selected countries in sub-Saharan Africa.

Eileen Bogweh Nchanji, Cosmas Kweyu Lutomia, Rowland Chirwa, Noel Templer, Jean Claude Rubyogo, Patricia Onyango

Abstract read
In one paragraph

Article in Agricultural systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

6 authors.

Eileen Bogweh NchanjiInternational Center for Tropical Agriculture, Kenya.
Cosmas Kweyu LutomiaKenya Agricultural and Livestock Research Organization, Kenya.
Rowland ChirwaInternational Center for Tropical Agriculture, Malawi.
Noel TemplerInternational Center for Tropical Agriculture, Kenya.
Jean Claude RubyogoInternational Center for Tropical Agriculture, Kenya.
Patricia OnyangoInternational Center for Tropical Agriculture, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa's agriculture and food systems were already grappling with challenges such as climate change and weather variability, pests and disease, and regional conflicts. With rising new cases of COVID 19 propelling various African governments to enforce strict restrictions of varying degrees to curb the spread. Thus, the pandemic posed unprecedented shocks on agriculture and food supply chains in Sub Saharan Africa. In this study, we use survey data collected from nine countries in Central, Eastern, and Southern, Africa to understand the immediate impact of COVID-19 on production, distribution, and consumption of common beans, and possible food security implications. Descriptive analysis of data collected from bean farmers, aggregators, processors, bean regional coordinators, and mechanization dealers reveal that COVID-19 and government restrictions had impacted the availability and cost of farm inputs and labour, distribution, and consumption of beans in Eastern and Southern Africa. The immediate impacts were dire in Southern Africa with Central Africa slightly impacted. The production and distribution challenges negatively impacted on frequency and patterns of food consumption in households in Africa. Thus, the pandemic poses a greater risk to food security and poverty in the region. Governments could play a significant role in supporting the needs of smallholder farmers, traders and other actors through provision of subsidized agricultural inputs.

Indexed as

AgricultureBean value chainCOVID-19Food systemSub-Saharan Africa

Identifiers

PMID33658743
PMCPMC7874012

What OpenQuestion holds

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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.