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Short Communication: Lack of a Decline in HIV Incidence in a Rural Community with High HIV Prevalence in South Africa, 2003–2007

机译:简短的交流:2003-2007年,南非艾滋病毒流行率较高的农村社区,艾滋病毒感染率缺乏下降

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摘要

To understand the dynamics of the HIV epidemic and to plan HIV treatment and prevention programs, it is critical to know how HIV incidence in a population evolves over time. We used data from a large population-based longitudinal HIV surveillance in a rural community in South Africa to test whether HIV incidence in this population has changed in the period from 2003 through 2007. We observed 563 seroconversions in 8095 individuals over 16,256 person-years at risk, yielding an overall HIV incidence of 3.4 per 100 person-years (95% confidence interval 3.1–3.7). We included time-dependent period dummy variables (in half-yearly increments) in age-stratified Cox regressions in order to test for trends in HIV incidence. We first did regression analyses separately for women and men. In both regressions, the coefficients of all period dummy variables were individually insignificant (all p ≥ 0.338) and jointly insignificant (p = 0.764 and p = 0.111, respectively). We then did regression analysis using the pooled data on women and men, controlling for sex and interactions between sex and age. Again, the coefficients of the eight period dummy variables were individually insignificant (all p ≥ 0.387) and jointly insignificant (p = 0.701). We show for the first time that high levels of HIV incidence have been maintained without any sign of decline over the past 5 years in both women and men in a rural South African community with high HIV prevalence. It is unlikely that the HIV epidemic in rural South Africa can be reversed without new or intensified efforts to prevent HIV infection.
机译:为了了解艾滋病毒流行的动态并计划艾滋病毒的治疗和预防计划,至关重要的是要了解人群中艾滋病毒的发病率如何随着时间演变。我们使用了来自南非农村社区基于人口的大型纵向HIV监测数据,以测试该人群的HIV发病率在2003年至2007年期间是否发生了变化。我们观察到8095个人中有563例血清转化,发生在16256人年。风险,导致每100人年3.4的总HIV发生率(95%置信区间3.1–3.7)。我们在年龄分层的Cox回归中包括了时间相关的时期虚拟变量(以半年为增量),以测试HIV发病趋势。我们首先分别对男女进行回归分析。在这两个回归中,所有周期虚拟变量的系数分别是无关紧要的(所有p≥)0.338)和联合无关紧要(p = 0.764和p = 0.111)。然后,我们使用有关男女的汇总数据进行回归分析,控制性别以及性别和年龄之间的相互作用。同样,八个周期虚拟变量的系数分别无关紧要(所有p≥0.387),共同无关紧要(p = 0.701)。我们首次表明,在过去5年中,南非艾滋病毒感染率很高的农村社区中,男女的艾滋病毒感染率一直保持高水平,而没有任何下降的迹象。如果没有新的或加强的预防艾滋病毒感染的努力,南非农村地区的艾滋病毒流行不可能逆转。

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