2011
DOI: 10.2989/16085906.2011.575548
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Why do some South African ethnic groups have very high HIV rates and others not?

Abstract: The differences in HIV prevalence between South Africa's racial/ethnic groups (19.9%, 3.2%, and 0.5% among 15-49-year-old blacks, coloureds and whites, respectively) are as big as those between the countries with the highest and lowest levels of HIV prevalence worldwide. These large racial/ethnic differences are largely determined by different sexual network structures. In networks among black South Africans, sexual partnerships are more likely to be arranged concurrently - a configuration that leads to expone… Show more

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Cited by 19 publications
(18 citation statements)
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“…Historical and anthropological analyses suggest that the shift from polygamy to monogamy in Southern Africa over the last 150 years did not reduce the number of partners men had. Non-marital and non-main partnerships were however driven underground 4 , 6 , 8 , 30 . This created the norm which - although heavily contested - maintains that it is acceptable for men to have ‘kwapeni’s’ (secret lovers) as long as their main partner does not find out 5 – 7 .…”
Section: Discussionmentioning
confidence: 98%
“…Historical and anthropological analyses suggest that the shift from polygamy to monogamy in Southern Africa over the last 150 years did not reduce the number of partners men had. Non-marital and non-main partnerships were however driven underground 4 , 6 , 8 , 30 . This created the norm which - although heavily contested - maintains that it is acceptable for men to have ‘kwapeni’s’ (secret lovers) as long as their main partner does not find out 5 – 7 .…”
Section: Discussionmentioning
confidence: 98%
“…Markers of network connectivity, such as sexual partner concurrency, have been found to be positively correlated with the prevalences of HIV [ 6 ], HSV-2 [ 63 ], BV [ 64 ], syphilis [ 65 ] and trichomoniasis [ 61 ]. Furthermore, historical studies from South Africa suggest that differential network connectivity by ethnic group could explain the differences in syphilis prevalence since the 1930s [ 33 , 66 , 67 ].…”
Section: Discussionmentioning
confidence: 99%
“…(1989/90) is a useful sampling time as this precedes the peak HIV prevalence of all the affected countries [1]. In addition, various lines of evidence suggest that the prevalence of concurrency in this region have persisted at these high levels for some time [35] [36].…”
Section: Discussionmentioning
confidence: 99%