Measuring wealth inequality in South Africa: An agenda

Chatterjee, Aroop

doi:10.35188/unu-wider/2019/679-1

Cited by 12 publications

(14 citation statements)

References 67 publications

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“…The likely reason for this could be that the Apartheid policies afforded Coloured, White and Indian/Asian sub-population groups more socio economic benefits in terms of housing, education and general wellbeing [ 31 ] . The socio-economic inequalities in South Africa are often visible across racial lines due to the historical legacies of legalized racial segregation [ 31 – 33 ].…”

Section: Discussionmentioning

confidence: 99%

Preparedness for self-isolation or quarantine and lockdown in South Africa: results from a rapid online survey

et al. 2021

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Background The World Health Organization (WHO) declared the COVID-19 pandemic a public health emergency of international concern. South Africa, like many other countries, initiated a multifaceted national response to the pandemic. Self-isolation and quarantine are essential components of the public health response in the country. This paper examined perceptions and preparedness for self-isolation or quarantine during the initial phase of the pandemic in South Africa. Methods The analysis used data obtained from an online quantitative survey conducted in all nine provinces using a data-free platform. Descriptive statistics and multivariable logistic regression models were used to analyse the data. Results Of 55,823 respondents, 40.1% reported that they may end up in self-isolation or quarantine, 32.6% did not think that they would and 27.4% were unsure. Preparedness for self-isolation or quarantine was 59.0% for self, 53.8% for child and 59.9% for elderly. The odds of perceived possibility for self-isolation or quarantine were significantly higher among Coloureds, Whites, and Indians/Asians than Black Africans, and among those with moderate or high self-perceived risk of contracting COVID-19 than those with low risk perception. The odds were significantly lower among older age groups than those aged 18–29 years, and those unemployed than fully employed. The odds of preparedness for self-isolation or quarantine were significantly less likely among females than males. Preparedness for self, child and elderly isolation or quarantine was significantly more likely among other population groups than Black Africans and among older age groups than those aged 18–29 years. Preparedness for self, child and elderly isolation or quarantine was significantly less likely among those self-employed than fully employed and those residing in informal dwellings than formal dwellings. In addition, preparedness for self-isolation or quarantine was significantly less likely among those with moderate and high self-perceived risk of contracting COVID-19 than low risk perception. Conclusion The findings highlight the challenge of implementing self-isolation or quarantine in a country with different and unique social contexts. There is a need for public awareness regarding the importance of self-isolation or quarantine as well as counter measures against contextual factors inhibiting this intervention, especially in impoverished communities.

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Section: Discussionmentioning

confidence: 99%

Preparedness for self-isolation or quarantine and lockdown in South Africa: results from a rapid online survey

et al. 2021

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“…Im Jahr 2019 wurden dort 54 % der oberen 10 % aller Einkommen von der ehemals unterdrückten schwarzen Mehrheitsbevölkerung erwirtschaftet (Chatterjee et al. 2021 , S. 33). Das naturnahe Tourismusangebot hat sich aber mit einigen Ausnahmen noch kaum auf die Bedürfnisse der in diesem Bevölkerungsteil enthaltenen Zielgruppen eingestellt.…”

Section: Big 5 Little Choiceunclassified

Big 5, Little Choice? Lehren aus der Pandemie für die Regional- und Binnennachfrage nach Safaridestinationen

Bollmann

2022

Standort

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ZusammenfassungAuf das südliche Afrika verteilte sich vor der Pandemie circa 2 % des weltweiten internationalen Reiseaufkommens. Davon erreichten fast die Hälfte dieser jährlichen Ankünfte Südafrika. Während der Pandemie hat sich gezeigt, dass gerade die Zugpferde des internationalen Tourismusmarketing der Region, die Safarilodges und Naturerlebnisanbieter, ohne Ankünfte aus Übersee nicht zu bewirtschaften sind. Als Alternative für diesen Nachfrageeinbruch wird einer Steigerung der Regional- und Binnennachfrage kaum Potenzial zugestanden. Dieser Standpunkt soll hier bestritten werden, ohne dabei jedoch vom Alleinstellungsmerkmal des Safaritourismus abzurücken. Die Empfehlung zielt stattdessen auf eine Erweiterung des Angebotsspektrums ab. Dabei werden 3 Absichten verfolgt: Erstens, den Mangel an der Binnennachfrage für die klassischen Reiseangebote der Region zu ergründen, zweitens Chancen für eine Aufwertung des Afrikabildes darzulegen und drittens Potenziale für eine Produktdiversifizierung aufzuzeigen, die auch eine wachsende Regional- und Binnennachfrage in den Blick nimmt.

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“…In South Africa, roughly 17% of residents have access to private healthcare through health insurance, while the remaining 83% rely primarily on the public healthcare system [5]. Clients of the private sector have a higher mean income and tend to live in areas with lower population density [6,7]; in addition, people with lower socioeconomic status are likely to be at higher risk of SARS-COV-2 infection [7][8][9][10]. As such, transmission patterns may be expected to differ between clients of private vs public sector healthcare providers, due to the difficulty of adhering to lockdown measures in higher-density areas [11].…”

Section: Introductionmentioning

confidence: 99%

Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves

Bingham

Tempia

Moultrie

et al. 2022

Preprint

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Objectives We aimed to quantify transmission trends in South Africa during the first four waves of the COVID-19 pandemic using estimates of the time-varying reproduction number (R) and to compare the robustness of R estimates based on three different data sources and using data from public and private sector service providers. Methods We estimated R from March 2020 through April 2022, nationally and by province, based on time series of rt-PCR-confirmed cases, hospitalizations, and hospital-associated deaths, using a method which models daily incidence as a weighted sum of past incidence. We also estimated R separately using public and private sector data. Results Nationally, the maximum case-based R following the introduction of lockdown measures was 1.55 (CI: 1.43-1.66), 1.56 (CI: 1.47-1.64), 1.46 (CI: 1.38-1.53) and 3.33 (CI: 2.84-3.97) during the first (Wuhan-Hu), second (Beta), third (Delta), and fourth (Omicron) waves respectively. Estimates based on the three data sources (cases, hospitalisations, deaths) were generally similar during the first three waves but cases-based estimates were higher during the fourth wave. Public and private sector R estimates were generally similar except during the initial lockdowns and in case-based estimates during the fourth wave. Discussion Agreement between R estimates using different data sources during the first three waves suggests data from any of these sources could be used in early stages of a future pandemic. High R estimates for Omicron relative to earlier waves is interesting given a high level of exposure pre-Omicron. The agreement between public and private sector R estimates highlights the fact that clients of the public and private sectors did not experience two separate epidemics, except perhaps to a limited extent during the strictest lockdowns during the first wave.

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Measuring wealth inequality in South Africa: An agenda

Cited by 12 publications

References 67 publications

Preparedness for self-isolation or quarantine and lockdown in South Africa: results from a rapid online survey

Preparedness for self-isolation or quarantine and lockdown in South Africa: results from a rapid online survey

Big 5, Little Choice? Lehren aus der Pandemie für die Regional- und Binnennachfrage nach Safaridestinationen

Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves

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