间歇性的HIV危险行为可以大大增加HIV的流行率和急性HIV感染的传播比例。

Xinyu Zhang, Lin Zhong, Ethan Romero-Severson, Shah Jamal Alam, Christopher J Henry, Erik M Volz, James S Koopman
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引用次数: 33

摘要

一个确定性的隔间模型被探索,放松了大多数HIV传播模型中不切实际的假设,即个体的行为随时间不变。为了更好地解释观察到的效应,我们制定了一个简单的模型。个体的接触率有高有低在他们之间来回。这种偶发性危险行为与急性艾滋病毒感染期间短暂的高传播性相互作用,导致流行率急剧增加,因为高接触率和低接触率之间的差异增加,并且高风险持续时间与急性艾滋病毒感染持续时间更好地匹配。这些相同的变化导致急性感染期间发生的所有传播的比例显著增加。尽管接触者总数和急性感染的总传播潜力不变,但仍发生了这些强烈变化。有两种现象在产生这些效应方面发挥了重要作用。首先,人们在高接触率阶段更容易被感染,在高传染性急性感染阶段,他们仍然保持高接触率。其次,当先前低接触率的个体进入偶发性高风险期时,他们更容易受到感染,从而提供了更多高接触率的易感个体,他们可能被感染。这些现象使检测和治疗控制策略不那么有效,并可能导致一些行为干预措施增加传播。对HIV毒株之间遗传模式的特征效应可能使确定这些偶发性风险效应是否在人群中起作用成为可能。
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Episodic HIV Risk Behavior Can Greatly Amplify HIV Prevalence and the Fraction of Transmissions from Acute HIV Infection.

A deterministic compartmental model was explored that relaxed the unrealistic assumption in most HIV transmission models that behaviors of individuals are constant over time. A simple model was formulated to better explain the effects observed. Individuals had a high and a low contact rate and went back and forth between them. This episodic risk behavior interacted with the short period of high transmissibility during acute HIV infection to cause dramatic increases in prevalence as the differences between high and low contact rates increased and as the duration of high risk better matched the duration of acute HIV infection. These same changes caused a considerable increase in the fraction of all transmissions that occurred during acute infection. These strong changes occurred despite a constant total number of contacts and a constant total transmission potential from acute infection. Two phenomena played a strong role in generating these effects. First, people were infected more often during their high contact rate phase and they remained with high contact rates during the highly contagious acute infection stage. Second, when individuals with previously low contact rates moved into an episodic high-risk period, they were more likely to be susceptible and thus provided more high contact rate susceptible individuals who could get infected. These phenomena make test and treat control strategies less effective and could cause some behavioral interventions to increase transmission. Signature effects on genetic patterns between HIV strains could make it possible to determine whether these episodic risk effects are acting in a population.

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