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津巴布韦哈拉雷的艾滋病毒发病率何时达到峰值?根据死亡率统计进行反向推算。

When did HIV incidence peak in Harare, Zimbabwe? Back-calculation from mortality statistics.

作者信息

Lopman Ben, Gregson Simon

机构信息

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

出版信息

PLoS One. 2008 Mar 5;3(3):e1711. doi: 10.1371/journal.pone.0001711.

Abstract

HIV prevalence has recently begun to decline in Zimbabwe, a result of both high levels of AIDS mortality and a reduction in incident infections. An important component in understanding the dynamics in HIV prevalence is knowledge of past trends in incidence, such as when incidence peaked and at what level. However, empirical measurements of incidence over an extended time period are not available from Zimbabwe or elsewhere in sub-Saharan Africa. Using mortality data, we use a back-calculation technique to reconstruct historic trends in incidence. From AIDS mortality data, extracted from death registration in Harare, together with an estimate of survival post-infection, HIV incidence trends were reconstructed that would give rise to the observed patterns of AIDS mortality. Models were fitted assuming three parametric forms of the incidence curve and under nine different assumptions regarding combinations of trends in non-AIDS mortality and patterns of survival post-infection with HIV. HIV prevalence was forward-projected from the fitted incidence and mortality curves. Models that constrained the incidence pattern to a cubic spline function were flexible and produced well-fitting, realistic patterns of incidence. In models assuming constant levels of non-AIDS mortality, annual incidence peaked between 4 and 5% between 1988 and 1990. Under other assumptions the peak level ranged from 3 to 8% per annum. However, scenarios assuming increasing levels of non-AIDS mortality resulted in implausibly low estimates of peak prevalence (11%), whereas models with decreasing underlying crude mortality could be consistent with the prevalence and mortality data. HIV incidence is most likely to have peaked in Harare between 1988 and 1990, which may have preceded the peak elsewhere in Zimbabwe. This finding, considered alongside the timing and location of HIV prevention activities, will give insight into the decline of HIV prevalence in Zimbabwe.

摘要

由于艾滋病死亡率居高不下以及新感染病例减少,津巴布韦的艾滋病毒感染率最近开始下降。了解艾滋病毒感染率动态变化的一个重要组成部分是掌握过去发病率的趋势,比如发病率何时达到峰值以及峰值水平是多少。然而,津巴布韦或撒哈拉以南非洲其他地区都没有长期发病率的实证测量数据。我们利用死亡率数据,采用反向推算技术来重建发病率的历史趋势。根据从哈拉雷死亡登记中提取的艾滋病死亡率数据,以及感染后的生存估计值,重建了艾滋病毒发病率趋势,这些趋势会导致观察到的艾滋病死亡模式。在假设发病率曲线有三种参数形式以及关于非艾滋病死亡率趋势和艾滋病毒感染后生存模式组合的九种不同假设下进行模型拟合。根据拟合的发病率和死亡率曲线对艾滋病毒感染率进行了前瞻性预测。将发病率模式约束为三次样条函数的模型具有灵活性,能产生拟合良好且现实的发病率模式。在假设非艾滋病死亡率恒定的模型中,1988年至1990年间年发病率峰值在4%至5%之间。在其他假设下,峰值水平每年在3%至8%之间。然而,假设非艾滋病死亡率上升的情景导致峰值感染率估计值低得难以置信(11%),而基础粗死亡率下降的模型可能与感染率和死亡率数据相符。艾滋病毒发病率很可能在1988年至1990年间在哈拉雷达到峰值,这可能早于津巴布韦其他地区。这一发现与艾滋病毒预防活动的时间和地点相结合,将有助于深入了解津巴布韦艾滋病毒感染率的下降情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2951/2248619/2aff9fd9b4ed/pone.0001711.g001.jpg

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