Version 1
: Received: 8 January 2024 / Approved: 24 January 2024 / Online: 25 January 2024 (11:08:06 CET)
How to cite:
Dlamini, S.; Weir-Smith, G.; Davids, Y.D. Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa. Preprints2024, 2024011784. https://doi.org/10.20944/preprints202401.1784.v1
Dlamini, S.; Weir-Smith, G.; Davids, Y.D. Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa. Preprints 2024, 2024011784. https://doi.org/10.20944/preprints202401.1784.v1
Dlamini, S.; Weir-Smith, G.; Davids, Y.D. Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa. Preprints2024, 2024011784. https://doi.org/10.20944/preprints202401.1784.v1
APA Style
Dlamini, S., Weir-Smith, G., & Davids, Y.D. (2024). Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa. Preprints. https://doi.org/10.20944/preprints202401.1784.v1
Chicago/Turabian Style
Dlamini, S., Gina Weir-Smith and Yul Derek Davids. 2024 "Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa" Preprints. https://doi.org/10.20944/preprints202401.1784.v1
Abstract
This study sought to spatially characterise and explain the differences of peoples’ perceptions on the impact of COVID-19 based on the socio-economic disparities in Gauteng, using choropleth mapping and Geographically Weighted Regression (GWR). Results indicate that respondents from relatively vulnerable municipalities like Merafong, Mogale City and Lesedi reported life being worse, information scant, and overall despondency being high since COVID-19. These are areas that fall under the High to Very High categories in terms of the Socio-economic Risk Index. GWR results, however, did not show a high explanatory power on the COVID-19 variables se-lected for the research, based on R2 values. For instance, the residual in overall satisfaction with life after COVID-19 was the lowest (-0.5 to 0.5) in the less affluent districts of the Rand West City and Sedibeng. Residual variables on life changes after COVID-19 were also the lowest in the southern parts of the same districts, with other low values almost evenly distributed throughout the province for the variable ‘Government information on COVID-19 was scant’. Although overestimation and underestimation existed, most were relatively low falling between -1.5 to -0.5 and distributed evenly across the province. In sum, however, the findings point to the complexity of socio-economic factors in spatially characterising social risk and vulnerability. Additionally, the negative sentiments expressed by people from the more vulnerable locations in the province emphasise the need for more targeted interventions by government to cushion the residents of the province to the continued negative impacts of COVID-19.
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
