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- Cook, Ian, et al.
(författare)
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All-cause mortality trends in Dikgale, rural South Africa, 1996-2003.
- 2008
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Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1403-4948 .- 1651-1905. ; 36:7, s. 753-60
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: The Dikgale Demographic Surveillance System (DDSS) site, established in 1995, is one of three rural surveillance sites in South Africa. This paper describes detailed mortality patterns of a rural African population in the central region of Limpopo Province. METHODS: These data were based on yearly household visits to collect data on vital events, covering 63, 873 person-years of observation over eight years. RESULTS: Crude mortality was 7.5 per 1,000 person-years (females: 6.9, males: 8.1). Under-1 year and under-5 years mortality was 15.1 and 5.8 per 1,000 person-years, respectively. Life expectancy at birth was 64.3 years (females: 68.1, males: 60.0). For the two four-year periods (1996-9 and 2000-3) under-20 years mortality risk decreased (rate ratio=0.45, 95% CI: 0.25 to 0.80) while 20-49 years mortality risk increased (rate ratio=1.55, 95% CI: 1.10 to 2.20). Multivariate mortality risk for migrants remained relatively constant (0.71, 95% CI: 0.54 to 0.94) across the two four-year periods, but has increased 2.5-fold in all DDSS +50 year-old adults across the two four-year periods. CONCLUSIONS: The DDSS mortality estimates appear to have remained relatively constant while recent mortality estimates for the Agincourt Demographic and Health Surveillance System (ADHSS) site suggest that mortality risk is higher and life expectancy is lower in ADHSS residents. Moreover, DDSS mortality estimates are substantially more favourable compared with provincial and national mortality estimates.
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| 3. |
- Kanjala, Chifundo, et al.
(författare)
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Spatial and temporal clustering of mortality in Digkale HDSS in rural northern South Africa
- 2010
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Ingår i: Global Health Action. - : CoAction Publishing. - 1654-9716 .- 1654-9880. ; 3, s. 59-63
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Tidskriftsartikel (refereegranskat)abstract
- Although cause-specific mortality data were not available, the rise in mortality in the 15-49-year age group over time and in areas closer to conurbations strongly suggests that the clustering observed was due to the development of HIV/AIDS-related mortality, as seen similarly elsewhere in South Africa. The HIV/AIDS services offered by the local health centre may have contributed to lower relative mortality around that location.
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| 4. |
- Sengupta, Dhriti, et al.
(författare)
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Genetic substructure and complex demographic history of South African Bantu speakers
- 2021
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Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- South Eastern Bantu-speaking (SEB) groups constitute more than 80% of the population in South Africa. Despite clear linguistic and geographic diversity, the genetic differences between these groups have not been systematically investigated. Based on genome-wide data of over 5000 individuals, representing eight major SEB groups, we provide strong evidence for fine-scale population structure that broadly aligns with geographic distribution and is also congruent with linguistic phylogeny (separation of Nguni, Sotho-Tswana and Tsonga speakers). Although differential Khoe-San admixture plays a key role, the structure persists after Khoe-San ancestry-masking. The timing of admixture, levels of sex-biased gene flow and population size dynamics also highlight differences in the demographic histories of individual groups. The comparisons with five Iron Age farmer genomes further support genetic continuity over similar to 400 years in certain regions of the country. Simulated trait genome-wide association studies further show that the observed population structure could have major implications for biomedical genomics research in South Africa. Despite linguistic and geographic diversity in South Eastern Bantu-speaking (SEB) groups of South Africa, genetic variation in these groups has not been investigated in depth. Here, the authors analyse genome-wide data from 5056 individuals, providing insights into demographic history across SEB groups.
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