Spatial pattern of environmental perception and place attachment in a diverse socio-economic context: the case of Gauteng province, South Africa

Dlamini, Simangele; Tesfamichael, Solomon G.; Weir-Smith, G.; Mokhele, Tholang

doi:10.5311/josis.2022.25.174

Cited by 3 publications

(2 citation statements)

References 44 publications

(79 reference statements)

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“…The SERI can also be used to measure levels of inequality within communities. As such, the SERI has a spatial bearing, especially in South Africa with a strong divide in socio-economic structure based on the social engineering of the country as a consequence of the apartheid regime [10]. Furthermore, the country is characterised by a twin health systemone for people of higher socio-economic status who can afford medical care, and the other dominated by people of higher socio-economic risk, who can barely afford the private, more resourced health system.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa

Dlamini,

Weir-Smith,

Davids

2024

Preprint

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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.

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Section: Introductionmentioning

confidence: 99%

Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa

Dlamini,

Weir-Smith,

Davids

2024

Preprint

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“…

Since our 10th anniversary issues published in 2020 [1,2], JOSIS has continued to publish a number of excellent research articles on many of the topics highlighted by our editorial board in their invited papers. These include articles on crowdsourcing [10], place [18,17,23,13,3], spatial language [5,15,24,19], GeoAI [14], movement analysis [26,11], urban analysis and wayfinding [16,21,7], methods for spatial analysis and uncertainty [22,25,6,20], environmental data and modeling [8,12,9], and qualitative spatial reasoning [4]. We are happy to also note that these articles represent research conducted around the world, with authors based in Australia,

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confidence: 99%

Spatial Information Science in 2023

Adams

Dodge²,

Purves³

2023

JOSIS

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Spatial Heterogeneity in Determinants of No Condom Use at First Sex in South Africa

Mokhele,

Moeti,

Fundisi

et al. 2024

TOPHJ

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Background Condom use, especially at first sex for unmarried people, is an important behaviour that reduces the risk of HIV transmission, and other Sexually Transmitted Diseases (STDs), as well as unwanted pregnancies. In reviewing the literature, little information was found to elucidate the spatial context of condom use among people who had an early sexual debut. Understanding factors that influence no condom use at first sex in different local or geographical areas can add value in addressing these risky first-sex practices and minimise the risk of getting HIV, STDs, and unwanted pregnancies in South Africa, especially among young people. Therefore, this paper aimed to determine the spatial heterogeneity of factors associated with no condom use at first sex in South Africa using Geographically Weighted Regression (GWR) with Poisson distribution and local bivariate relationships. Methods This article used data from the fifth South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey (SABSSM V) of 2017. Spatial autocorrelation, GWR using Poisson distribution, and local bivariate relationships were undertaken using ArcGIS Pro. Results Geographically weighted regression using Poisson distribution results highlighted being female, being young, having never married, being unemployed, having sexual debut at a younger age, having two or more sexual partners, having no risk of being infected with HIV, and having good Self-perceived Health (SPH) to be significant factors influencing no condom use at first sex, with pseudo R2 = 0.96 and AICc = 692. Local bivariate relationships showed the relationship between no condom use at first sex and most explanatory variables to exhibit a positive linear relationship in most districts with the exception of having never married, which showed a positive linear relationship in only 18 districts, while 33 districts showed a concave relationship. These relationships were all significant with p < 0.05. Conclusion This localised analytical approach may contribute to the development of geo-targeted interventions and policies tailored to specific regions within South Africa, thereby improving the effectiveness of efforts to promote safe first sexual practices. Educational programs targeting youth should be developed to further raise awareness of the risks associated with unprotected sex and the importance of condom use. More efforts should be made to break the barriers, such as sexual relationship power, gender, and sociocultural and religious influences, which tend to put young, never-married, and unemployed women at risk of no condom use at first sexual debut. It is further recommended that the type of relationship between no condom use at first sex and each explanatory factor at the local region be considered during geo-targeted interventions as this will assist in the type of intervention and duration of intervention.

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Spatial pattern of environmental perception and place attachment in a diverse socio-economic context: the case of Gauteng province, South Africa

Cited by 3 publications

References 44 publications

Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa

Spatial Variations in Perceptions of COVID-19 in Relation to Socio-Economic Vulnerability in Gauteng, South Africa

Spatial Information Science in 2023

Spatial Heterogeneity in Determinants of No Condom Use at First Sex in South Africa

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