
We examine for the first time age-mixing in sexual relationships in a population with very high HIV incidence and prevalence in rural South Africa. The highest levels of age assortativity (the pairing of like with like) were casual partnerships reported by men, the lowest levels were spousal relationships reported by women. Given the age-sex distribution of HIV prevalence in this population, interventions to decrease age-gaps in spousal relationships may be effective in reducing HIV incidence.
Statistics and Probability, Male, Research, Age Factors, 610, HIV Infections, South Africa, Sexual Partners, Legacy, Surveys and Questionnaires, Prevalence, Humans, Categorical Data Analysis, Female, Other Mathematics
Statistics and Probability, Male, Research, Age Factors, 610, HIV Infections, South Africa, Sexual Partners, Legacy, Surveys and Questionnaires, Prevalence, Humans, Categorical Data Analysis, Female, Other Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 56 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
