Evidence map›Paper›PMID 35291307›Full record

ArticleScientific African2022

Prevalence of household food insecurity in Ethiopia during the COVID-19 pandemic: Evidence from panel data.

Setiye Abebaw Tefera, Teshome Betru Tadesse, Getachew Wollie Asmare

Abstract read
In one paragraph

Article in Scientific African, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 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

3 authors.

Setiye Abebaw TeferaSamara University, Department of Natural Resources Management, P.O. Box 132, Semera, Ethiopia.
Teshome Betru TadesseSamara University, Department of Natural Resources Management, P.O. Box 132, Semera, Ethiopia.
Getachew Wollie AsmareSamara University, Department of Economics, P.O. Box 132, Semera, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is a global problem that confronted the economy and household food security of many countries. This study aimed to analyze the determinants of a household's food insecurity status in the era of the COVID-19 pandemic in Ethiopia. A panel data of 2,410 households in a six-round High-Frequency Phone Survey were retrieved from the World Bank database. The product of the corresponding pairwise severity weight and household responses to each coping strategy was summed up to get the individual's Coping Strategy Index. The Random Effect Model (REM) for panel data analysis was used to identify factors associated with household-related food insecurity during the COVID-19 pandemic. The descriptive statistics result shows that 18.63% and 11.08% of rural households and 56.55% and 38.13% of urban residents were food secure in the first and sixth rounds, respectively. On the contrary, 3.65% and 3.2% of rural households and 6.8% and 7.18% of urban households experienced severe food insecurity from the first to the sixth round, respectively. Most households have maintained their food security in urban areas than rural residents. However, the number of food secure households was gradually reduced from Round-1 to Round-6. Besides, REM output indicates that access to financial services, farm income, wage employment, income from property, investment, and savings, and NGO assistance negatively affected household's food insecurity. Whereas government support showed a positive association with households' food insecurity. Based on the findings, we recommend that households should adopt the behavior of enhancing and diversifying their sources of income, and the government also emphasize the establishment of national social security services by taking experience from NGOs' emergency response mechanisms.

Indexed as

Coping Strategy IndexCOVID-19EthiopiaFood insecurityPanel data

Identifiers

PMID35291307
PMCPMC8912985

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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.