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Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam

机译:越来越多的风险行为可能会超过抗逆转录病毒药物治疗对阿姆斯特丹男同性恋与男同性恋者艾滋病毒感染率的好处

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Background The transmission through contacts among MSM (men who have sex with men) is one of the dominating contributors to HIV prevalence in industrialized countries. In Amsterdam, the capital of the Netherlands, the MSM risk group has been traced for decades. This has motivated studies which provide detailed information about MSM's risk behavior statistically, psychologically and sociologically. Despite the era of potent antiretroviral therapy, the incidence of HIV among MSM increases. In the long term the contradictory effects of risk behavior and effective therapy are still poorly understood. Methods Using a previously presented Complex Agent Network model, we describe steady and casual partnerships to predict the HIV spreading among MSM. Behavior-related parameters and values, inferred from studies on Amsterdam MSM, are fed into the model; we validate the model using historical yearly incidence data. Subsequently, we study scenarios to assess the contradictory effects of risk behavior and effective therapy, by varying corresponding values of parameters. Finally, we conduct quantitative analysis based on the resulting incidence data. Results The simulated incidence reproduces the ACS historical incidence well and helps to predict the HIV epidemic among MSM in Amsterdam. Our results show that in the long run the positive influence of effective therapy can be outweighed by an increase in risk behavior of at least 30% for MSM. Conclusion We recommend, based on the model predictions, that lowering risk behavior is the prominent control mechanism of HIV incidence even in the presence of effective therapy.
机译:背景技术MSM(男男性接触者)之间的接触传播是工业化国家HIV流行的主要因素之一。在荷兰的首都阿姆斯特丹,MSM风险组已经追踪了数十年。这激励了研究,提供了统计,心理和社会方面有关MSM风险行为的详细信息。尽管有有效的抗逆转录病毒治疗时代,MSM中HIV的发生率仍在增加。从长远来看,对风险行为和有效疗法的矛盾影响仍然知之甚少。方法使用先前介绍的复杂代理网络模型,我们描述稳定和随意的伙伴关系以预测HIV在MSM中的传播。从关于阿姆斯特丹MSM的研究中推断出的与行为相关的参数和值被输入到模型中;我们使用历史年度发生率数据验证模型。随后,我们研究方案,通过改变相应的参数值来评估风险行为和有效疗法的矛盾效应。最后,我们根据所得的发病率数据进行定量分析。结果模拟发生率很好地再现了ACS的历史发生率,有助于预测阿姆斯特丹MSM中的HIV流行情况。我们的结果表明,从长远来看,有效治疗的积极影响可以被MSM的风险行为至少增加30%所抵消。结论我们建议根据模型预测,即使在有有效疗法的情况下,降低风险行为也是艾滋病毒发病率的主要控制机制。

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