Emmanuel Fundisi
Datos Biográficos
| ID | 6960262 |
|---|---|
| NOMBRE | Emmanuel Fundisi |
| NOMBRES | Emmanuel |
| APELLIDO | Fundisi |
| FIRMA | FUNDISI E |
| AFILIACIONES | Human Sciences Research Council |
| ORCID | 0000-0002-1609-1029 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2026 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Spatial variations in perceptions, risks and impacts of Covid-19 in relation to socio-economic vulnerability in Gauteng, South Africa
This study aims to spatially characterise and explain the differences in people’s perceptions regarding the impact of COVID-19, based on socio-economic disparities in Gauteng using choropleth mapping and Geographically Weighted Poisson Regression (GWPR). Socio-economic factors such as race, education level, and age were spatially modelled to explain people’s perceptions of the effects of COVID-19. The results were spatially variable, and responde…
Hidden spatial inequalities in youth unemployment in Gauteng
One of South Africa's most persistent socioeconomic challenges is youth unemployment with rates among young people consistently higher than the national average. This study examined the spatial variation of youth unemployment in Gauteng province using data from the Gauteng City-Region Observatory (GCRO) Quality of Life Survey 7 (2023/24). Geographically Weighted Regression (GWR) was used to show how the relationships between youth unemployment an…
Sin obras prominentes en esta página.
Spatial variations in perceptions, risks and impacts of Covid-19 in relation to socio-economic vulnerability in Gauteng, South Africa
This study aims to spatially characterise and explain the differences in people’s perceptions regarding the impact of COVID-19, based on socio-economic disparities in Gauteng using choropleth mapping and Geographically Weighted Poisson Regression (GWPR). Socio-economic factors such as race, education level, and age were spatially modelled to explain people’s perceptions of the effects of COVID-19. The results were spatially variable, and responde…
Hidden spatial inequalities in youth unemployment in Gauteng
One of South Africa's most persistent socioeconomic challenges is youth unemployment with rates among young people consistently higher than the national average. This study examined the spatial variation of youth unemployment in Gauteng province using data from the Gauteng City-Region Observatory (GCRO) Quality of Life Survey 7 (2023/24). Geographically Weighted Regression (GWR) was used to show how the relationships between youth unemployment an…
Computer Science (1 obras) · COVID-19 epidemiological studies (1 obras) · COVID-19 Pandemic Impacts (1 obras) · Economic geography (1 obras) · Geography (1 obras) · Government (linguistics (1 obras) · HIV/AIDS Impact and Responses (1 obras) · Inequality (1 obras) · Perception (1 obras) · Poverty (1 obras)