反向推算法是否仍然适用于根据国家监测数据估计艾滋病毒发病率?

The Open AIDS Journal Pub Date : 2012-01-01 Epub Date: 2012-09-07 DOI:10.2174/1874613601206010108
Kylie-Ann Mallitt, David P Wilson, Ann McDonald, Handan Wand
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引用次数: 4

摘要

准确估计艾滋病毒发病率对于了解感染传播程度、评估干预策略和有效规划新的公共卫生控制措施至关重要。许多工业化国家的艾滋病毒/艾滋病监测系统记录了已知的新艾滋病毒和/或艾滋病诊断的数量,这通常被用作艾滋病毒发病率的替代标记。HIV/AIDS诊断数据被用来重建历史HIV发病率趋势,使用改进的反向投影方法。当广泛获得关于偶发感染数量的可靠数据(所有诊断的一个子集)时,对艾滋病毒发病率的估计是最可靠的,监测系统应优先收集这些数据。单独的反向投影提供了过去艾滋病毒发病率的可靠估计,但在估计当前或未来艾滋病毒发病率时并不有用。但是,应结合其他确证方法使用反向投影方法来估计目前的艾滋病毒发病率,并应研究将各种技术结合起来的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Is back-projection methodology still relevant for estimating HIV incidence from national surveillance data?

Is back-projection methodology still relevant for estimating HIV incidence from national surveillance data?

Accurate estimates of HIV incidence are crucial to understand the extent of transmission of the infection, evaluate intervention strategies and effectively plan new public health control measures. HIV/AIDS surveillance systems in numerous industrialised countries record the number of known new HIV and/or AIDS diagnoses, which are often used as a surrogate marker for HIV incidence. HIV/AIDS diagnosis data have been used to reconstruct historical HIV incidence trends using modified back-projection methods. Estimates of HIV incidence are most robust when reliable data on the number of incident infections, a subset of all diagnoses, is widely available, and surveillance systems should prioritize the collection of these data. Back-projection alone provides reliable estimates of HIV incidence in the past, but is not useful when estimating current or future HIV incidence. However, back-projection methodology should be used in conjunction with other corroborative methods to estimate current HIV incidence, and methods to combine the various techniques should be investigated.

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