Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, England, UK.
Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Gates Open Res. 2024 Sep 13;8:97. doi: 10.12688/gatesopenres.15556.1. eCollection 2024.
Estimates of the global health impact of immunisation are important for quantifying historical benefits as well as planning future investments and strategy. The Vaccine Impact Modelling Consortium (VIMC) was established in 2016 to provide reliable estimates of the health impact of immunisation. In this article we examine the consortium in its first five-year phase. We detail how vaccine impact was defined and the methods used to estimate it as well as the technical infrastructure required to underpin robust reproducibility of the outputs. We highlight some of the applications of estimates to date, how these were communicated and what their effect were. Finally, we explore some of the lessons learnt and remaining challenges for estimating the impact of vaccines and forming effective modelling consortia then discuss how this may be addressed in the second phase of VIMC. Modelled estimates are not a replacement for surveillance; however, they can examine theoretical counterfactuals and highlight data gaps to complement other activities. VIMC has implemented strategies to produce robust, standardised estimates of immunisation impact. But through the first phase of the consortium, critical lessons have been learnt both on the technical infrastructure and the effective engagement with modellers and stakeholders. To be successful, a productive dialogue with estimate consumers, producers and stakeholders needs to be underpinned by a rigorous and transparent analytical framework as well as an approach for building expertise in the short and long term.
免疫接种对全球健康的影响估计对于量化历史效益以及规划未来投资和战略非常重要。疫苗影响建模联盟(VIMC)成立于 2016 年,旨在提供免疫接种对健康影响的可靠估计。在本文中,我们考察了联盟在其第一个五年阶段的情况。我们详细介绍了如何定义疫苗的影响以及用于估计其影响的方法,以及支持稳健可重复输出所需的技术基础设施。我们强调了迄今为止一些估计的应用,以及这些应用的沟通方式及其效果。最后,我们探讨了一些经验教训和剩余的挑战,用于估计疫苗的影响并形成有效的建模联盟,然后讨论如何在 VIMC 的第二阶段解决这些问题。模型估计并不是监测的替代品;但是,它们可以检验理论上的反事实情况,并突出数据差距,以补充其他活动。VIMC 已经实施了策略,以产生稳健的、标准化的免疫接种影响估计。但是,通过联盟的第一阶段,我们不仅在技术基础设施方面,而且在与建模人员和利益相关者的有效参与方面都吸取了重要的经验教训。为了取得成功,需要在严格和透明的分析框架以及在短期和长期内建立专业知识的方法的基础上,与估计消费者、生产者和利益相关者进行富有成效的对话。