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获得性免疫缺陷综合征流行病程预测方法。

Methods for projecting course of acquired immunodeficiency syndrome epidemic.

作者信息

Gail M H, Brookmeyer R

机构信息

Epidemiologic Methods Section, National Cancer Institute, Bethesda, MD 20892.

出版信息

J Natl Cancer Inst. 1988 Aug 17;80(12):900-11. doi: 10.1093/jnci/80.12.900.

Abstract

Three methods for projecting the short-term course of the acquired immunodeficiency syndrome (AIDS) epidemic are discussed: (a) empirical extrapolation, (b) the method of "back calculation," and (c) projections based on compartmental models. Extrapolation, which requires only data on AIDS incidence, is based on an assumed functional form and on the supposition that previous trends will continue. The method of back calculation incorporates both information on previous AIDS incidence and knowledge about the incubation period distribution. These calculations provide some evidence of how many infections occurred during previous time intervals. Although this information is not precise, particularly for the recent past, it is sufficient to produce stable short-term projections. Compartmental models can be used to project future prevalence of infection as well as future AIDS incidence. However, such projections are very dependent on assumptions about initial numbers of individuals infected, rates of transmission, changes in high-risk behaviors over time, and assumptions about transmission among subpopulations with differing transmission rates and initial prevalence of infection. Thus, compartmental models offer insights into the trends in an epidemic but do not currently provide a practical tool for obtaining quantitative projections. We present projections for various risk groups based on the method of back calculation and discuss the use of additional epidemiologic data to obtain accurate projections a decade in advance.

摘要

本文讨论了三种预测获得性免疫缺陷综合征(艾滋病)疫情短期发展趋势的方法:(a)经验外推法,(b)“反向计算”法,以及(c)基于房室模型的预测法。外推法仅需艾滋病发病率数据,基于假定的函数形式以及先前趋势将持续的假设。反向计算法既纳入了先前艾滋病发病率的信息,也包含了潜伏期分布的知识。这些计算为先前时间段内发生的感染数量提供了一些证据。尽管这些信息并不精确,尤其是近期的情况,但足以得出稳定的短期预测。房室模型可用于预测未来的感染流行率以及未来的艾滋病发病率。然而,此类预测非常依赖于关于初始感染个体数量、传播率、高危行为随时间的变化以及不同传播率和初始感染流行率的亚人群之间传播的假设。因此,房室模型有助于洞察疫情趋势,但目前并非获取定量预测的实用工具。我们基于反向计算法给出了针对不同风险群体的预测,并讨论了使用额外的流行病学数据提前十年获得准确预测的方法。

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