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艾滋病规划署年度估计过程中估算关键艾滋病毒指标的方法和假设。

Methods and Assumptions for Estimating Key HIV Indicators in the UNAIDS Annual Estimates Process.

机构信息

Center for Modeling and Analysis, Avenir Health, Glastonbury, CT.

出版信息

J Acquir Immune Defic Syndr. 2024 Jan 1;95(1S):e5-e12. doi: 10.1097/QAI.0000000000003316. Epub 2024 Jan 4.

Abstract

BACKGROUND

Each year UNAIDS supports national teams to estimate key HIV indicators using their latest data. These estimates are produced using a collection of models and software tools. This paper describes the demographic and HIV projection models used in this process.

METHODS

The demographic model (DemProj) projects the population by sex and single age for each year of the estimate. This information is fed into the HIV model (AIDS Impact Model) to estimate key HIV indicators. The model uses program, survey and surveillance data along with incidence trends produced through 1 of several separate models, to estimate new HIV infections, HIV-related deaths, and the population living with HIV by sex, age, CD4 category, and treatment status.

RESULTS

These models allow the annual production of estimates of key HIV indicators including uncertainty intervals. This information is used to track progress toward national and global goals and to develop national strategic plans, Global Fund applications and PEPFAR country operational plans.

CONCLUSIONS

Under the guidance of the UNAIDS Reference Group on Estimates, Modeling and Projections, these models are updated on a regular basis in response to evolving programmatic needs, new data, and analyses. This process of continuous review and improvement has led to mature models that make the best use of available data to provide estimates of indicators important to monitoring progress and developing future plans.

摘要

背景

每年,艾滋病署都支持国家团队利用最新数据来估算关键的艾滋病毒指标。这些估算值是使用一系列模型和软件工具得出的。本文介绍了在此过程中使用的人口统计和艾滋病毒预测模型。

方法

人口统计模型(DemProj)按性别和单一年龄为估算的每一年预测人口。此信息被输入到艾滋病毒模型(艾滋病影响模型)中,以估算关键的艾滋病毒指标。该模型使用方案、调查和监测数据以及通过若干单独模型之一生成的发病趋势,估算新的艾滋病毒感染、艾滋病毒相关死亡以及按性别、年龄、CD4 类别和治疗状况划分的艾滋病毒感染者人数。

结果

这些模型允许每年估算关键的艾滋病毒指标,包括不确定区间。这些信息用于跟踪国家和全球目标的进展情况,并制定国家战略计划、全球基金申请和 PEPFAR 国家业务计划。

结论

在艾滋病署估算、建模和预测参考小组的指导下,这些模型会根据不断变化的方案需求、新数据和分析结果定期更新。这种不断审查和改进的过程导致了成熟的模型,这些模型充分利用了现有数据,提供了对监测进展和制定未来计划很重要的指标的估算值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b61/10769177/691d3c94560a/qai-95-e5-g001.jpg

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