School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Nat Commun. 2023 Jul 19;14(1):4325. doi: 10.1038/s41467-023-39736-3.
With the ongoing evolution of the SARS-CoV-2 virus updated vaccines may be needed. We fitted a model linking immunity levels and protection to vaccine effectiveness data from England for three vaccines (Oxford/AstraZeneca AZD1222, Pfizer-BioNTech BNT162b2, Moderna mRNA-1273) and two variants (Delta, Omicron). Our model reproduces the observed sustained protection against hospitalisation and death from the Omicron variant over the first six months following dose 3 with the ancestral vaccines but projects a gradual waning to moderate protection after 1 year. Switching the fourth dose to a variant-matched vaccine against Omicron BA.1/2 is projected to prevent nearly twice as many hospitalisations and deaths over a 1-year period compared to administering the ancestral vaccine. This result is sensitive to the degree to which immunogenicity data can be used to predict vaccine effectiveness and uncertainty regarding the impact that infection-induced immunity (not captured here) may play in modifying future vaccine effectiveness.
随着 SARS-CoV-2 病毒的不断进化,可能需要更新疫苗。我们拟合了一个模型,将免疫水平和保护与来自英格兰的三种疫苗(牛津/阿斯利康 AZD1222、辉瑞-BioNTech BNT162b2、莫德纳 mRNA-1273)和两种变体(Delta、Omicron)的疫苗有效性数据联系起来。我们的模型再现了在接种第 3 剂后前 6 个月观察到的对奥密克戎变体引起的住院和死亡的持续保护,但预计在 1 年后会逐渐减弱到适度保护。将第四剂疫苗换成针对奥密克戎 BA.1/2 的变体匹配疫苗,预计在 1 年内可预防近两倍的住院和死亡病例,而接种原始疫苗则不然。这一结果对免疫原性数据在多大程度上可以用于预测疫苗有效性的不确定性以及感染诱导的免疫(此处未捕获)可能在改变未来疫苗有效性方面的影响程度敏感。