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Herd immunity effect of the HPV vaccination program in Australia under different assumptions regarding natural immunity against re-infection

机译:在不同的自然免疫抵抗假设下,澳大利亚HPV疫苗接种计划的牛群免疫效果

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Deterministic dynamic compartmental transmission models (DDCTMs) of human papillomavirus (HPV) transmission have been used in a number of studies to estimate the potential impact of HPV vaccination programs. In most cases, the models were built under the assumption that an individual who cleared HPV infection develops (life-long) natural immunity against re-infection with the same HPV type (this is known as SIR scenario). This assumption was also made by two Australian modelling studies evaluating the impact of the National HPV Vaccination Program to assist in the health-economic assessment of male vaccination. An alternative view denying natural immunity after clearance (SIS scenario) was only presented in one study, although neither scenario has been supported by strong evidence. Some recent findings, however, provide arguments in favour of SIS. We developed HPV transmission models implementing life-time (SIR), limited, and non-existent (SIS) natural immunity. For each model we estimated the herd immunity effect of the ongoing Australian HPV vaccination program and its extension to cover males. Given the Australian setting, we aimed to clarify the extent to which the choice of model structure would influence estimation of this effect. A statistically robust and efficient calibration methodology was applied to ensure credibility of our results. We observed that for non-SIR models the herd immunity effect measured in relative reductions in HPV prevalence in the unvaccinated population was much more pronounced than for the SIR model. For example, with vaccine efficacy of 95% for females and 90% for males, the reductions for HPV-16 were 3% in females and 28% in males for the SIR model, and at least 30% (females) and 60% (males) for non-SIR models. The magnitude of these differences implies that evaluations of the impact of vaccination programs using DDCTMs should incorporate several model structures until our understanding of natural immunity is improved
机译:人乳头瘤病毒(HPV)传播的确定性动态区室传播模型(DDCTM)已用于许多研究中,以评估HPV疫苗接种计划的潜在影响。在大多数情况下,建立模型的前提是,清除HPV感染的个体对同一HPV类型的再感染具有(终生)自然免疫能力(这称为SIR方案)。这个假设也是由两项澳大利亚建模研究做出的,这些研究评估了国家HPV疫苗接种计划对男性疫苗接种的健康经济评估的影响。尽管一项研究都没有强有力的证据支持,但另一种观点认为清除后的自然免疫性(SIS情景)仅在一项研究中提出。但是,最近的一些发现提供了支持SIS的论点。我们开发了实现生命周期(SIR),有限和不存在(SIS)自然免疫力的HPV传播模型。对于每种模型,我们估计了正在进行的澳大利亚HPV疫苗接种计划的牛群免疫效果及其扩展至男性。在澳大利亚的情况下,我们旨在阐明模型结构的选择会在多大程度上影响这种效果的估计。采用统计上强大且有效的校准方法,以确保我们的结果可信。我们观察到,对于非SIR模型,以未接种人群中HPV患病率的相对降低测得的畜群免疫效果要比SIR模型明显得多。例如,对于SIR模型,疫苗对女性的效力为95%,对男性的效力为90%,HPV-16的减少在女性中为3%,在男性中为28%,至少30%(女性)和60%(男性)用于非SIR模型。这些差异的严重程度意味着,使用DDCTM对疫苗接种计划的影响进行评估之前,应采用多种模型结构,直到我们对自然免疫的理解得到改善

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