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2023 年艾滋病署艾滋病毒估计数的最新数据和方法。

Updated Data and Methods for the 2023 UNAIDS HIV Estimates.

机构信息

South African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.

Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.

出版信息

J Acquir Immune Defic Syndr. 2024 Jan 1;95(1S):e1-e4. doi: 10.1097/QAI.0000000000003344. Epub 2024 Jan 4.

DOI:10.1097/QAI.0000000000003344
PMID:38180734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10769173/
Abstract

Each year, supported by the Joint United Nations Programme on HIV/AIDS (UNAIDS), country teams across the globe produce estimates that chart the state of their HIV epidemics. In 2023, HIV estimates were available for 174 countries, accounting for 99% of the global population, of which teams from 150 countries actively engaged in this process. The methods used to derive these estimates are developed under the guidance of the UNAIDS Reference Group on Estimates, Modeling, and Projections (www.epidem.org). Updates to these methods and epidemiological analyses that inform parameters and assumptions are documented in this supplement.

摘要

每年,全球各国的国家团队在联合国艾滋病规划署(UNAIDS)的支持下,都会制作估计数图表,以反映其艾滋病疫情的状况。2023 年,全球 174 个国家提供了艾滋病毒估计数,占全球人口的 99%,其中 150 个国家的团队积极参与了这一进程。这些估计数的推导方法是在 UNAIDS 估计、建模和预测参考小组的指导下制定的(www.epidem.org)。本增刊记录了对这些方法的更新以及用于确定参数和假设的流行病学分析。

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