论文标题

SARS-COV-2在带有疫苗接种和突破性感染的SIS模型中传播

Spread of SARS-CoV-2 in a SIS model with vaccination and breakthrough infection

论文作者

Gualtieri, Ariel Félix, de la Cal, Carolina, Toma, Augusto Francisco, Hecht, Pedro

论文摘要

尽管先前的感染和疫苗接种提供了针对SARS-COV-2感染的保护,但重新感染和突破性感染都是可能的事件,其发生的事件将随着首次暴露于抗原而引起的时间增加,并且随着病毒的新变体的出现。周期性疫苗接种可以抵消这种保护下降。在目前的工作中,我们的目的是通过疫苗接种,再感染和突破性感染来开发和探索SARS-COV-2扩散模型。设计了由微分方程系统表示的修改的确定性SIS(易感感染感染)模型。与任何SIS模型一样,人口被分为易感和感染的个体。但是在我们的设计中,易感人士又分为三个类别,这些类别的易感性随着感染或疫苗接种后的时间而增加。通过计算机模拟对模型进行了研究,并进行了定性分析。获得的结果表明,在峰和山谷之间振荡后的流行率达到了平稳期。此外,正如可能预期的那样,随着感染率的上升,峰值和高原的幅度增加,疫苗接种率降低以及通过疫苗接种或先前感染赋予的保护的衰减率增加。因此,本研究表明,至少在某些条件下,SARS-COV-2的传播虽然可能会发生波动,但最终将演变成一种流行形式,或多或少稳定的患病率将取决于感染和疫苗接种的水平,以及感染后的感染和感染后的动力学。但是,应该牢记的是,我们的发展是一个具有许多局限性的理论计划。因此,应格外小心地考虑其预测。

Although previous infection and vaccination provide protection against SARS-CoV-2 infection, both reinfection and breakthrough infection are possible events whose occurrence would increase with time after first exposure to the antigen and with the emergence of new variants of the virus. Periodic vaccination could counteract this decline in protection. In the present work, our aim was to develop and explore a model of SARS-CoV-2 spread with vaccination, reinfection and breakthrough infection. A modified deterministic SIS (Susceptible-Infected-Susceptible) model represented by a system of differential equations was designed. As in any SIS model, the population was divided into susceptible and infected individuals. But in our design, susceptible individuals were, in turn, grouped into three consecutive categories whose susceptibility increases with time after infection or vaccination. The model was studied by means of computer simulations, which were analysed qualitatively. The results obtained show that the prevalence, after oscillating between peaks and valleys, reaches a plateau phase. Moreover, as might be expected, the magnitude of the peaks and plateaus increases as the infection rate rises, the vaccination rate decreases and the rate of decay of protection conferred by vaccination or previous infection increases. Therefore, the present study suggests that, at least under certain conditions, the spread of SARS-CoV-2, although it could experience fluctuations, would finally evolve into an endemic form, with a more or less stable prevalence that would depend on the levels of infection and vaccination, and on the kinetics of post-infection and post-vaccination protection. However, it should be kept in mind that our development is a theoretical scheme with many limitations. For this reason, its predictions should be considered with great care.

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