对后果进行建模:预测捐助方削减艾滋病预防、治疗和护理资金的全球影响。

IF 4
Current opinion in HIV and AIDS Pub Date : 2025-11-01 Epub Date: 2025-08-26 DOI:10.1097/COH.0000000000000977
Jirair Ratevosian, Paul Ngangula, Khai Hoan Tram
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引用次数: 0

摘要

审查目的:美国最近削减了对全球艾滋病毒项目的资助,并随后终止了这些项目,这对数十年来在终结艾滋病毒流行方面取得的进展构成了威胁。为了应对财政和方案的不确定性,数学模型预测了当前和未来援助减少的可怕后果。本综述审查了2025年1月20日至5月30日期间发表的模型研究,对模型估计进行了比较分析,并综合了主要发现。最近的发现:九项模型研究考察了美国和国际捐助者减少资金的情况,范围从暂时暂停到无限期终止,大多数分析集中在撒哈拉以南非洲和pepfar支持的项目。时间范围从短期预测(2025-2026)到跨越未来20年的长期估计不等。不同研究的地理覆盖范围不同,一些模型侧重于单个国家(如南非),而另一些模型则预测所有低收入和中等收入国家(LMICs)的结果。根据共识预测,全球捐助者削减资金——包括特朗普政府提出的削减资金——可能导致未来5年新增1000万艾滋病毒感染者,其中包括100万儿童,以及300万人死亡。总结:早期的模型研究得出了一个明确的信息,即即使是外部艾滋病资金的部分减少,也有可能使数十年的进展发生逆转,对依赖总统防治艾滋病紧急救援计划资金的高负担国家产生不成比例的影响。然而,由于不同的模型结构和关于资金削减和项目适应性的不同假设,估计差异很大。这些模型应该被解释为指导决策的定向工具,为决策者提供评估供资方案和预测潜在后果的工具。对各国政府来说,这些模型强调了对艾滋病缓解项目进行持续投资的迫切需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the fallout: projecting the global impact of donor funding cuts on HIV prevention, treatment, and care.

Purpose of review: Recent U.S. funding cuts and subsequent terminations to global HIV programs threaten decades-long progress towards ending the HIV epidemic. In response to financial and programmatic uncertainty, mathematical models have projected dire consequences of current and future reductions in aid. This review examines modeling studies published from 20 January through 30 May 2025 and presents a comparative analysis of model estimates and synthesizes key findings.

Recent findings: Nine modeling studies examined U.S. and international donor funding reduction scenarios, ranging from a temporary pause to indefinite termination, with most analyses focused on sub-Saharan Africa and PEPFAR-supported programs. Time horizons varied from short-term projections (2025-2026) to long-term estimates spanning the next 20  years. Geographic coverage differed across studies, with some models focused on individual countries (e.g., South Africa) and others projecting outcomes across all low- and middle-income countries (LMICs). Based on consensus projections, global donor funding cuts - including those proposed by the Trump administration - could result in 10 million additional HIV infections, including 1 million among children, and 3 million additional deaths over the next 5  years.

Summary: Early modeling studies converge on a clear message, that even partial reductions in external HIV funding pose the risk of reversing decades of progress, with disproportionate effects in high-burden countries reliant on PEPFAR funding. However, estimates vary widely due to heterogenous model structures and varying assumptions regarding funding cuts and adaptability of programs. These models should be interpreted as directional tools to guide decision-making, offering policymakers a tool to assess funding scenarios and anticipate potential consequences. For national governments, the models underscore the urgent need for sustained investment in HIV mitigation programs.

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