Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa DOI Open Access
Simangele Dlamini,

Gina Weir-Smith,

Yul Derek Davids

et al.

Published: Jan. 25, 2024

This study sought to spatially characterise and explain the differences of peoples’ perceptions on impact COVID-19 based socio-economic disparities in Gauteng, using choropleth mapping Geographically Weighted Regression (GWR). Results indicate that respondents from relatively vulnerable municipalities like Merafong, Mogale City Lesedi reported life being worse, information scant, overall despondency high since COVID-19. These are areas fall under High Very categories terms Socio-economic Risk Index. GWR results, however, did not show a explanatory power variables se-lected for research, R2 values. For instance, residual satisfaction with after was lowest (-0.5 0.5) less affluent districts Rand West Sedibeng. Residual changes were also southern parts same districts, other low values almost evenly distributed throughout province variable ‘Government scant’. Although overestimation underestimation existed, most falling between -1.5 -0.5 across province. In sum, findings point complexity factors characterising social risk vulnerability. Additionally, negative sentiments expressed by people more locations emphasise need targeted interventions government cushion residents continued impacts

Language: Английский

Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa DOI Open Access
Simangele Dlamini,

Gina Weir-Smith,

Yul Derek Davids

et al.

Published: Jan. 25, 2024

This study sought to spatially characterise and explain the differences of peoples’ perceptions on impact COVID-19 based socio-economic disparities in Gauteng, using choropleth mapping Geographically Weighted Regression (GWR). Results indicate that respondents from relatively vulnerable municipalities like Merafong, Mogale City Lesedi reported life being worse, information scant, overall despondency high since COVID-19. These are areas fall under High Very categories terms Socio-economic Risk Index. GWR results, however, did not show a explanatory power variables se-lected for research, R2 values. For instance, residual satisfaction with after was lowest (-0.5 0.5) less affluent districts Rand West Sedibeng. Residual changes were also southern parts same districts, other low values almost evenly distributed throughout province variable ‘Government scant’. Although overestimation underestimation existed, most falling between -1.5 -0.5 across province. In sum, findings point complexity factors characterising social risk vulnerability. Additionally, negative sentiments expressed by people more locations emphasise need targeted interventions government cushion residents continued impacts

Language: Английский

Citations

1