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美国针对奥密克戎BA.1变体的免疫力减弱和增强作用的数学评估。

Mathematical assessment of the role of waning and boosting immunity against the BA.1 Omicron variant in the United States.

作者信息

Safdar Salman, Ngonghala Calistus N, Gumel Abba B

机构信息

School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA.

Department of Mathematics, University of Florida, Gainesville, FL 32611, USA.

出版信息

Math Biosci Eng. 2023 Jan;20(1):179-212. doi: 10.3934/mbe.2023009. Epub 2022 Sep 30.

Abstract

Three safe and effective vaccines against SARS-CoV-2 have played a major role in combating COVID-19 in the United States. However, the effectiveness of these vaccines and vaccination programs has been challenged by the emergence of new SARS-CoV-2 variants of concern. A new mathematical model is formulated to assess the impact of waning and boosting of immunity against the Omicron variant in the United States. To account for gradual waning of vaccine-derived immunity, we considered three vaccination classes that represent high, moderate and low levels of immunity. We showed that the disease-free equilibrium of the model is globally-asymptotically, for two special cases, if the associated reproduction number is less than unity. Simulations of the model showed that vaccine-derived herd immunity can be achieved in the United States via a vaccination-boosting strategy which entails fully vaccinating at least 59% of the susceptible populace followed by the boosting of about 72% of the fully-vaccinated individuals whose vaccine-derived immunity has waned to moderate or low level. In the absence of boosting, waning of immunity only causes a marginal increase in the average number of new cases at the peak of the pandemic, while boosting at baseline could result in a dramatic reduction in the average number of new daily cases at the peak. Specifically, for the fast immunity waning scenario (where both vaccine-derived and natural immunity are assumed to wane within three months), boosting vaccine-derived immunity at baseline reduces the average number of daily cases at the peak by about 90% (in comparison to the corresponding scenario without boosting of the vaccine-derived immunity), whereas boosting of natural immunity (at baseline) only reduced the corresponding peak daily cases (in comparison to the corresponding scenario without boosting of natural immunity) by approximately 62%. Furthermore, boosting of vaccine-derived immunity is more beneficial (in reducing the burden of the pandemic) than boosting of natural immunity. Finally, boosting vaccine-derived immunity increased the prospects of altering the trajectory of COVID-19 from persistence to possible elimination.

摘要

三种安全有效的抗SARS-CoV-2疫苗在美国抗击新冠疫情中发挥了重要作用。然而,这些疫苗及疫苗接种计划的有效性受到了新出现的值得关注的SARS-CoV-2变体的挑战。一种新的数学模型被构建出来,以评估美国针对奥密克戎变体免疫减弱和加强免疫的影响。为了考虑疫苗衍生免疫力的逐渐减弱,我们考虑了代表高、中、低免疫水平的三类疫苗接种情况。我们表明,对于两种特殊情况,如果相关的再生数小于1,该模型的无病平衡点是全局渐近的。该模型的模拟结果表明,在美国可以通过一种加强免疫策略实现疫苗衍生的群体免疫,即至少对59%的易感人群进行全面接种,然后对约72%疫苗衍生免疫力已减弱至中低水平的完全接种者进行加强免疫。在没有加强免疫的情况下,免疫力减弱只会使疫情高峰时的新增病例平均数略有增加,而在基线时进行加强免疫则可使高峰时的每日新增病例平均数大幅减少。具体而言,对于快速免疫减弱的情况(假设疫苗衍生免疫和自然免疫均在三个月内减弱),在基线时加强疫苗衍生免疫可使高峰时的每日病例平均数减少约90%(与未加强疫苗衍生免疫的相应情况相比),而在基线时加强自然免疫(与未加强自然免疫的相应情况相比)仅使相应的每日高峰病例减少约62%。此外,加强疫苗衍生免疫(在减轻疫情负担方面)比加强自然免疫更有益。最后,加强疫苗衍生免疫增加了将新冠疫情轨迹从持续状态转变为可能消除状态的可能性。

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