Spatial inequality through the prism of a pandemic: Covid-19 in South Africa

被引:15
作者
Shifa, Muna [1 ]
David, Anda [1 ,2 ]
Leibbrandt, Murray [1 ]
机构
[1] SALDRU Univ Cape Town, ACEIR, Cape Town, South Africa
[2] AFD, Paris, France
基金
新加坡国家研究基金会;
关键词
Inequality; Spatial analysis; Vulnerability; Covid-19; South Africa; DEPRIVATION;
D O I
10.1016/j.sciaf.2021.e00949
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, we examine whether pre-existing socio-economic inequalities relate to inequalities in vulnerability to COVID-19 infection in the context of South Africa using the 2016 Community Survey, which allows for a detailed geographical disaggregation of the analysis. For this purpose, we use a set of indicators of a household's vulnerability to COVID-19 infection and then aggregate these into an index of COVID-19 vulnerability. We use these indicators and their aggregate indices to profile COVID-19 vulnerability at the national, provincial and municipal levels as well providing an urban/rural breakdown. We find that pre-existing socio-economic inequalities are related to inequalities in vulnerability to COVID-19 infection. Poorer households are more vulnerable to infection due to their living conditions. While close to 30% of the population in the poorest two wealth quintiles may be considered vulnerable to the virus due to multiple vulnerability factors, the corresponding figure for the richest two wealth quintiles is less than 2%. There are also stark spatial inequalities in COVID-19 vulnerability. This has implications for budget allocations in response to the COVID-19 pandemic, especially as some of the government relief funding has been and will be apportioned according to municipal need. (c) 2021 Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
引用
收藏
页数:12
相关论文
共 25 条
[1]  
Africa CDC, 2021, AFR CDC COVID 19 DAS
[2]   Assessing changes in US public trust in science amid the COVID-19 pandemic [J].
Agley, Jon .
PUBLIC HEALTH, 2020, 183 :122-125
[3]   The COVID-19 pandemic and health inequalities [J].
Bambra, Clare ;
Riordan, Ryan ;
Ford, John ;
Matthews, Fiona .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2020, 74 (11) :964-968
[4]   A multidimensional Gini index [J].
Banerjee, Asis Kumar .
MATHEMATICAL SOCIAL SCIENCES, 2010, 60 (02) :87-93
[5]  
Brown C.S., 27200 NBER, DOI [10.3386/w27200, DOI 10.3386/W27200]
[6]  
Brown Caitlin S, 2020, NBER working papers, V27549, DOI DOI 10.3386/W27549
[7]   The Long Walk: Considering the Enduring Spatial and Racial Dimensions of Deprivation Two Decades After the Fall of Apartheid [J].
Burger, Ronelle ;
van der Berg, Servaas ;
van der Walt, Sarel ;
Yu, Derek .
SOCIAL INDICATORS RESEARCH, 2017, 130 (03) :1101-1123
[8]  
Danquah M., 2020, COVID 19 SOCIOECONOM, DOI [10.35188/ UNUWIDER/WBN/2020-5, DOI 10.35188/UNUWIDER/WBN/2020-5]
[9]  
Egger Eva-Maria, 2020, WIDER Working Papers, DOI 10.35188/UNU-WIDER/2020/833-7
[10]  
Gordon D., 2020, Who is most vulnerable to catching COVID-19 and where do they live?