School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.
Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.
BMC Infect Dis. 2024 Apr 16;24(1):407. doi: 10.1186/s12879-024-09282-4.
Since the emergence of SARS-CoV-2 (COVID-19), there have been multiple waves of infection and multiple rounds of vaccination rollouts. Both prior infection and vaccination can prevent future infection and reduce severity of outcomes, combining to form hybrid immunity against COVID-19 at the individual and population level. Here, we explore how different combinations of hybrid immunity affect the size and severity of near-future Omicron waves.
To investigate the role of hybrid immunity, we use an agent-based model of COVID-19 transmission with waning immunity to simulate outbreaks in populations with varied past attack rates and past vaccine coverages, basing the demographics and past histories on the World Health Organization Western Pacific Region.
We find that if the past infection immunity is high but vaccination levels are low, then the secondary outbreak with the same variant can occur within a few months after the first outbreak; meanwhile, high vaccination levels can suppress near-term outbreaks and delay the second wave. Additionally, hybrid immunity has limited impact on future COVID-19 waves with immune-escape variants.
Enhanced understanding of the interplay between infection and vaccine exposure can aid anticipation of future epidemic activity due to current and emergent variants, including the likely impact of responsive vaccine interventions.
自 SARS-CoV-2(COVID-19)出现以来,已经经历了多波感染和多轮疫苗接种。既往感染和疫苗接种均可预防未来感染并降低疾病严重程度,在个体和人群层面形成针对 COVID-19 的混合免疫力。在此,我们探讨不同组合的混合免疫力如何影响未来奥密克戎波的规模和严重程度。
为了研究混合免疫力的作用,我们使用具有免疫衰减的 COVID-19 传播的基于代理的模型来模拟具有不同既往感染率和既往疫苗覆盖率的人群中的暴发情况,基于世界卫生组织西太平洋区域的人口统计学和既往史。
我们发现,如果既往感染免疫力高但疫苗接种水平低,那么与最初暴发相同的变体的二次暴发可能在首次暴发后几个月内发生;同时,高疫苗接种水平可以抑制近期暴发并延迟第二波。此外,混合免疫力对具有免疫逃逸变异的未来 COVID-19 波的影响有限。
增强对感染和疫苗暴露之间相互作用的理解,可以帮助预测当前和新兴变体引起的未来流行活动,包括有针对性的疫苗干预措施的可能影响。