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

dc.contributor.authorLukwa, Akim Tafadzwa
dc.contributor.authorChiwire, Plaxcedes
dc.contributor.authorAkinsolu, Folahanmi Tomiwa
dc.contributor.authorBodzo, Paidamoyo
dc.contributor.authorOkova, Denis
dc.contributor.authorMaseko, Sikelela Charles
dc.contributor.authorMokhele, Tholang
dc.contributor.authorParker, Whadi-ah
dc.contributor.authorMjimba, Vuyo
dc.contributor.authorSimelani, Thokozani
dc.contributor.authorHongoro, Charles
dc.date.accessioned2026-02-06T07:43:44Z
dc.date.available2026-02-06T07:43:44Z
dc.date.issued2026-01
dc.descriptionDATA AVAILABILITY STATEMENT : Publicly available datasets were analyzed in this study. This data can be found here: The NIDS-CRAM dataset used in this study is publicly available online at https://www.nids.uct.ac.za/nids-cram. The NFNSS dataset is not publicly available due to data-sharing restrictions but can be accessed upon reasonable request through Professor Charles Hongoro.
dc.description.abstractBACKGROUND : 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.
dc.description.departmentSchool of Health Systems and Public Health (SHSPH)
dc.description.librarianhj2026
dc.description.sdgSDG-02: Zero hunger
dc.description.sdgSDG-10: Reduces inequalities
dc.description.sponsorshipFunding from the National Institute of Humanities and Social Sciences, South Africa.
dc.description.urihttps://www.frontiersin.org/journals/public-health
dc.identifier.citationLukwa, A.T., Chiwire, P., Akinsolu, F.T., Bodzo, P., Okova, D., Maseko, S.C., Mokhele, T., Parker, W., Mjimba, V., Simelani, T. & Hongoro, C. (2026) 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. Frontiers in Public Health 13:1736131: 1-14. doi: 10.3389/fpubh.2025.1736131.
dc.identifier.issn2296-2565 (online)
dc.identifier.other10.3389/fpubh.2025.1736131
dc.identifier.urihttp://hdl.handle.net/2263/107913
dc.language.isoen
dc.publisherFrontiers Media
dc.rights© 2026 Lukwa, Chiwire, Akinsolu, Bodzo, Okova, Maseko, Mokhele, Parker, Mjimba, Simelani and Hongoro. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
dc.subjectCOVID-19 pandemic
dc.subjectErreygers concentration index
dc.subjectNIDS-CRAM
dc.subjectCoronavirus disease (COVID-19)
dc.subjectNational Food and Nutrition Security Survey (NFNSS)
dc.subjectSouth Africa (SA)
dc.subjectFood insecurity
dc.subjectHousehold hunger
dc.subjectSocio-economic inequalities
dc.titleImpact 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
dc.typeArticle

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