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通过基于高分辨率智能体模型预测新冠疫苗免疫力减弱的影响。

Predicting the Effects of Waning Vaccine Immunity Against COVID-19 through High-Resolution Agent-Based Modeling.

作者信息

Truszkowska Agnieszka, Zino Lorenzo, Butail Sachit, Caroppo Emanuele, Jiang Zhong-Ping, Rizzo Alessandro, Porfiri Maurizio

机构信息

Center for Urban Science and Progress, Tandon School of Engineering New York University 370 Jay Street Brooklyn NY 11201 USA.

Department of Mechanical and Aerospace Engineering, Tandon School of Engineering New York University Six MetroTech Center Brooklyn NY 11201 USA.

出版信息

Adv Theory Simul. 2022 Jun;5(6):2100521. doi: 10.1002/adts.202100521. Epub 2022 Feb 14.

Abstract

The potential waning of the vaccination immunity to COVID-19 could pose threats to public health, as it is tenable that the timing of such waning would synchronize with the near-complete restoration of normalcy. Should also testing be relaxed, a resurgent COVID-19 wave in winter 2021/2022 might be witnessed. In response to this risk, an additional vaccine dose, the booster shot, is being administered worldwide. A projected study with an outlook of 6 months explores the interplay between the rate at which boosters are distributed and the extent to which testing practices are implemented, using a highly granular agent-based model tuned on a medium-sized US town. Theoretical projections indicate that the administration of boosters at the rate at which the vaccine is currently administered could yield a severe resurgence of the pandemic. Projections suggest that the peak levels of mid-spring 2021 in the vaccination rate may prevent such a scenario to occur, although exact agreement between observations and projections should not be expected due to the continuously evolving nature of the pandemic. This study highlights the importance of testing, especially to detect asymptomatic individuals in the near future, as the release of the booster reaches full speed.

摘要

新冠疫苗接种免疫力的潜在减弱可能对公众健康构成威胁,因为这种减弱的时间与接近完全恢复正常的时间同步是合理的。如果检测也放松,可能会见证2021/2022年冬季新冠疫情的再次爆发。为应对这种风险,全球正在接种额外一剂疫苗,即加强针。一项为期6个月的预测研究使用一个在一个美国中型城镇校准的高度细化的基于主体的模型,探讨了加强针分发速度与检测措施实施程度之间的相互作用。理论预测表明,按照目前疫苗接种的速度接种加强针可能会导致疫情严重反弹。预测显示,2021年春中接种率的峰值水平可能会防止这种情况发生,尽管由于疫情不断演变的性质,观察结果与预测之间不会完全一致。这项研究强调了检测的重要性,特别是在加强针全面加速接种的不久将来检测无症状个体。

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