用于决策的 HIV-1 传播随机多尺度模型:在男男性行为人群中的应用。

A stochastic multi-scale model of HIV-1 transmission for decision-making: application to a MSM population.

机构信息

Department of Biomedical, Chemical & Environmental Engineering, University of Cincinnati, Cincinnati, Ohio, United States of America.

出版信息

PLoS One. 2013 Nov 26;8(11):e70578. doi: 10.1371/journal.pone.0070578. eCollection 2013.

Abstract

BACKGROUND

In the absence of an effective vaccine against HIV-1, the scientific community is presented with the challenge of developing alternative methods to curb its spread. Due to the complexity of the disease, however, our ability to predict the impact of various prevention and treatment strategies is limited. While ART has been widely accepted as the gold standard of modern care, its timing is debated.

OBJECTIVES

To evaluate the impact of medical interventions at the level of individuals on the spread of infection across the whole population. Specifically, we investigate the impact of ART initiation timing on HIV-1 spread in an MSM (Men who have Sex with Men) population.

DESIGN AND METHODS

A stochastic multi-scale model of HIV-1 transmission that integrates within a single framework the in-host cellular dynamics and their outcomes, patient health states, and sexual contact networks. The model captures disease state and progression within individuals, and allows for simulation of therapeutic strategies.

RESULTS

Early ART initiation may substantially affect disease spread through a population.

CONCLUSIONS

Our model provides a multi-scale, systems-based approach to evaluate the broader implications of therapeutic strategies.

摘要

背景

在缺乏有效预防 HIV-1 病毒的疫苗的情况下,科学界面临着开发替代方法来遏制其传播的挑战。然而,由于该疾病的复杂性,我们预测各种预防和治疗策略的影响的能力有限。虽然抗逆转录病毒疗法(ART)已被广泛认为是现代治疗的金标准,但关于其开始时间仍存在争议。

目的

评估个体层面的医疗干预措施对整个人群感染传播的影响。具体而言,我们研究了开始抗逆转录病毒治疗(ART)的时机对男男性行为人群中 HIV-1 传播的影响。

设计和方法

这是一个 HIV-1 传播的随机多尺度模型,在单个框架内整合了宿主细胞动力学及其结果、患者健康状况和性接触网络。该模型可以捕捉个体内部的疾病状态和进展,并允许模拟治疗策略。

结果

早期 ART 启动可能会通过人群对疾病传播产生重大影响。

结论

我们的模型提供了一种基于系统的多尺度方法来评估治疗策略的更广泛影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e9/3841178/bd831b29a2dd/pone.0070578.g001.jpg

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