Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Emmanuel Fundisi

Dados Biográficos

ID6960262
NOMEEmmanuel Fundisi
PRENOMESEmmanuel
SOBRENOMEFundisi
ASSINATURAFUNDISI E
AFILIAÇÕESHuman Sciences Research Council
ORCID0000-0002-1609-1029
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Spatial variations in perceptions, risks and impacts of Covid-19 in relation to socio-economic vulnerability in Gauteng, South Africa

    Open Access•Simangele Dlamini, Gina Weir-Smith et al.•ARTICLE•South African Geographical Journal•2026

    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

    Open Access•Thabiso Moeti, Tholang Mokhele et al.•ARTICLE•Frontiers in Human Dynamics•2026

    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…

Sem obras proeminentes nesta página.

  • Spatial variations in perceptions, risks and impacts of Covid-19 in relation to socio-economic vulnerability in Gauteng, South Africa

    Open Access•Simangele Dlamini, Gina Weir-Smith et al.•ARTICLE•South African Geographical Journal•2026

    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

    Open Access•Thabiso Moeti, Tholang Mokhele et al.•ARTICLE•Frontiers in Human Dynamics•2026

    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)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae