Evidence map›Paper›PMID 41602026›Full record

ArticleFrontiers in public health2025

Impact of COVID-19 on household hunger and socio-economic inequality in South Africa: a comparative analysis using NIDS-CRAM (2020-2021) and NFNSS 2022 data.

Akim Tafadzwa Lukwa, Plaxcedes Chiwire, Folahanmi Tomiwa Akinsolu, Paidamoyo Bodzo, Denis Okova, Sikelela Charles Maseko, Tholang Mokhele, Whadi-Ah Parker, Vuyo Mjimba, Thokozani Simelani and 1 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Akim Tafadzwa Lukwa *Division of Family Medicine, Family, Community and Emergency Care (FaCE), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Plaxcedes Chiwire *Western Cape Department of Health, Western Cape Province, Cape Town, South Africa.
Folahanmi Tomiwa AkinsoluDepartment of Public Health, Faculty of Basic Medical and Health Sciences, Lead City University, Ibadan, Oyo, Nigeria.
Paidamoyo BodzoDivision of Family Medicine, Family, Community and Emergency Care (FaCE), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Denis OkovaDivision of Family Medicine, Family, Community and Emergency Care (FaCE), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Sikelela Charles MasekoDivision of Family Medicine, Family, Community and Emergency Care (FaCE), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Tholang MokheleDevelopmental, Capable and Ethical State, Human Sciences Research Council, Pretoria, South Africa.
Whadi-Ah ParkerDevelopmental, Capable and Ethical State, Human Sciences Research Council, Pretoria, South Africa.
Vuyo MjimbaDevelopmental, Capable and Ethical State, Human Sciences Research Council, Pretoria, South Africa.
Thokozani SimelaniDevelopmental, Capable and Ethical State, Human Sciences Research Council, Pretoria, South Africa.
Charles HongoroDevelopmental, Capable and Ethical State, Human Sciences Research Council, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Food insecurity is a persistent socio-economic challenge in South Africa that was sharply exacerbated by the COVID-19 pandemic. This study compares household hunger during the acute pandemic period and the early recovery phase and examines how socio-economic inequalities in food security evolved. Methods: We analyzed five waves of the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM, 2020-2021) and the National Food and Nutrition Security Survey (NFNSS, 2022). A harmonized 7-day household hunger indicator was recoded as "no household hunger" and modeled using survey-weighted logistic regression. Socio-economic-related inequality in being hunger-free was assessed using the Erreygers Concentration Index and decomposition analysis, with sensitivity checks for alternative socio-economic status (SES) specifications and model diagnostics. Results: Hunger peaked at 26.47% in Wave 1 of NIDS-CRAM and declined to 16.07% by Wave 5, before falling to 8.19% in NFNSS. Improvements were uneven; several provinces, notably the Northern Cape, Free State and North West, remained comparatively food insecure. Across all waves and NFNSS, higher SES was strongly associated with a lower risk of hunger, and living in informal or traditional dwellings and larger household size were consistently associated with a higher risk of hunger. Erreygers indices were positive in all periods, indicating pro-rich inequality in food security that intensified during the pandemic and narrowed only modestly post-pandemic, with SES the dominant contributor. Conclusion: Although household hunger declined below pandemic peaks, the recovery in food security has been unequal and remains strongly patterned by socio-economic status and place, underscoring the need for structural, equity-focused policy responses.

Indexed as

COVID-19Family CharacteristicsFood InsecurityHungerSocioeconomic FactorsHumansNutrition SurveysSARS-CoV-2Socioeconomic Disparities in HealthSouth AfricaCOVID-19 pandemicErreygers concentration indexfood insecurityhousehold hungerNational Food and Nutrition Security Survey (NFNSS)NIDS-CRAMsocio-economic inequalitiesSouth Africa

Identifiers

PMID41602026
PMCPMC12832473

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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.