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Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa
Individuals’ vulnerability to the risk of COVID-19 infection varies due to their health, socioeconomic, and living circumstances, which also affect the effectiveness of implementing non-pharmacological interventions (NPIs). In this study, we analysed socioeconomic-related inequalities in COVID-19 vu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518327/ https://www.ncbi.nlm.nih.gov/pubmed/36078194 http://dx.doi.org/10.3390/ijerph191710480 |
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author | Shifa, Muna Gordon, David Leibbrandt, Murray Zhang, Mary |
author_facet | Shifa, Muna Gordon, David Leibbrandt, Murray Zhang, Mary |
author_sort | Shifa, Muna |
collection | PubMed |
description | Individuals’ vulnerability to the risk of COVID-19 infection varies due to their health, socioeconomic, and living circumstances, which also affect the effectiveness of implementing non-pharmacological interventions (NPIs). In this study, we analysed socioeconomic-related inequalities in COVID-19 vulnerability using data from the nationally representative South African General Household Survey 2019. We developed a COVID-19 vulnerability index, which includes health and social risk factors for COVID-19 exposure and susceptibility. The concentration curve and concentration index were used to measure socioeconomic-related inequalities in COVID-19 vulnerability. Recentred influence function regression was then utilised to decompose factors that explain the socioeconomic-related inequalities in COVID-19 vulnerability. The concentration index estimates were all negative and highly significant (p < 0.01), indicating that vulnerability to COVID-19 was more concentrated among the poor. According to the decomposition analysis, higher income and education significantly (p < 0.01) positively impacted lowering socioeconomic-related COVID-19 vulnerability. Living in an urban region, being Black, and old all had significant (p < 0.01) positive impacts on increasing socioeconomic-related COVID-19 vulnerability. Our findings contribute to a better understanding of socially defined COVID-19-vulnerable populations in South Africa and the implications for future pandemic preparedness plans. |
format | Online Article Text |
id | pubmed-9518327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95183272022-09-29 Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa Shifa, Muna Gordon, David Leibbrandt, Murray Zhang, Mary Int J Environ Res Public Health Article Individuals’ vulnerability to the risk of COVID-19 infection varies due to their health, socioeconomic, and living circumstances, which also affect the effectiveness of implementing non-pharmacological interventions (NPIs). In this study, we analysed socioeconomic-related inequalities in COVID-19 vulnerability using data from the nationally representative South African General Household Survey 2019. We developed a COVID-19 vulnerability index, which includes health and social risk factors for COVID-19 exposure and susceptibility. The concentration curve and concentration index were used to measure socioeconomic-related inequalities in COVID-19 vulnerability. Recentred influence function regression was then utilised to decompose factors that explain the socioeconomic-related inequalities in COVID-19 vulnerability. The concentration index estimates were all negative and highly significant (p < 0.01), indicating that vulnerability to COVID-19 was more concentrated among the poor. According to the decomposition analysis, higher income and education significantly (p < 0.01) positively impacted lowering socioeconomic-related COVID-19 vulnerability. Living in an urban region, being Black, and old all had significant (p < 0.01) positive impacts on increasing socioeconomic-related COVID-19 vulnerability. Our findings contribute to a better understanding of socially defined COVID-19-vulnerable populations in South Africa and the implications for future pandemic preparedness plans. MDPI 2022-08-23 /pmc/articles/PMC9518327/ /pubmed/36078194 http://dx.doi.org/10.3390/ijerph191710480 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shifa, Muna Gordon, David Leibbrandt, Murray Zhang, Mary Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title | Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title_full | Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title_fullStr | Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title_full_unstemmed | Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title_short | Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa |
title_sort | socioeconomic-related inequalities in covid-19 vulnerability in south africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518327/ https://www.ncbi.nlm.nih.gov/pubmed/36078194 http://dx.doi.org/10.3390/ijerph191710480 |
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