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要在美国终结艾滋病需要什么?:一项全面的、基于地方层面的建模研究。

What Will It Take to End HIV in the United States? : A Comprehensive, Local-Level Modeling Study.

机构信息

Johns Hopkins University School of Medicine, Baltimore, Maryland (A.T.F., M.S.).

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (M.S., P.K., D.W.D.).

出版信息

Ann Intern Med. 2021 Nov;174(11):1542-1553. doi: 10.7326/M21-1501. Epub 2021 Sep 21.

Abstract

BACKGROUND

The Ending the HIV Epidemic (EHE) initiative aims to reduce incident HIV infections by 90% over a span of 10 years. The intensity of interventions needed to achieve this for local epidemics is unclear.

OBJECTIVE

To estimate the effect of HIV interventions at the city level.

DESIGN

A compartmental model of city-level HIV transmission stratified by age, race, sex, and HIV risk factor was developed and calibrated.

SETTING

32 priority metropolitan statistical areas (MSAs).

PATIENTS

Simulated populations in each MSA.

INTERVENTION

Combinations of HIV testing and preexposure prophylaxis (PrEP) coverage among those at risk for HIV, plus viral suppression in persons with diagnosed HIV infection.

MEASUREMENTS

The primary outcome was the projected reduction in incident cases from 2020 to 2030.

RESULTS

Absent intervention, HIV incidence was projected to decrease by 19% across all 32 MSAs. Modest increases in testing (1.25-fold per year), PrEP coverage (5 percentage points), and viral suppression (10 percentage points) across the population could achieve reductions of 34% to 67% by 2030. Twenty-five percent PrEP coverage, testing twice a year on average, and 90% viral suppression among young Black and Hispanic men who have sex with men (MSM) achieved similar reductions (13% to 68%). Including all MSM and persons who inject drugs could reduce incidence by 48% to 90%. Thirteen of 32 MSAs could achieve greater than 90% reductions in HIV incidence with large-scale interventions that include heterosexuals. A web application with location-specific results is publicly available (www.jheem.org).

LIMITATION

The COVID-19 pandemic was not represented.

CONCLUSION

Large reductions in HIV incidence are achievable with substantial investment, but the EHE goals will be difficult to achieve in most locations. An interactive model that can help policymakers maximize the effect in their local environments is presented.

PRIMARY FUNDING SOURCE

National Institutes of Health.

摘要

背景

终结艾滋病毒流行(EHE)倡议旨在在 10 年内将新感染艾滋病毒的人数减少 90%。实现当地流行疫情这一目标所需的干预措施的强度尚不清楚。

目的

估计城市层面的艾滋病毒干预措施的效果。

设计

为年龄、种族、性别和艾滋病毒风险因素分层的城市层面艾滋病毒传播的 compartmental 模型被开发并进行了校准。

地点

32 个优先大都市统计区(MSA)。

患者

每个 MSA 中的模拟人群。

干预措施

对有感染艾滋病毒风险的人群进行艾滋病毒检测和暴露前预防(PrEP)覆盖范围的组合,以及对已诊断艾滋病毒感染者进行病毒抑制。

测量

主要结果是预测从 2020 年到 2030 年的新发病例减少。

结果

在没有干预的情况下,预计所有 32 个 MSA 的艾滋病毒发病率将下降 19%。在人群中适度增加检测(每年增加 1.25 倍)、PrEP 覆盖范围(5 个百分点)和病毒抑制(10 个百分点),到 2030 年可将减少率从 34%到 67%。25%的 PrEP 覆盖率、平均每年两次检测和 90%的年轻黑人和西班牙裔男男性行为者(MSM)中的病毒抑制可实现类似的减少(13%到 68%)。包括所有 MSM 和注射毒品者可使发病率降低 48%到 90%。如果进行大规模干预,包括异性恋者,32 个 MSA 中有 13 个可以将艾滋病毒发病率降低 90%以上。一个具有位置特定结果的网络应用程序(www.jheem.org)可供公众使用。

局限性

没有考虑到 COVID-19 大流行。

结论

通过大量投资,可以实现艾滋病毒发病率的大幅降低,但在大多数地方实现 EHE 目标将非常困难。本文提出了一个交互式模型,可以帮助决策者在其当地环境中最大化效果。

主要资金来源

美国国立卫生研究院。

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