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昆士兰州群体免疫需求建模:疫苗效力、犹豫和 SARS-CoV-2 变异的影响。

Modelling herd immunity requirements in Queensland: impact of vaccination effectiveness, hesitancy and variants of SARS-CoV-2.

机构信息

Brain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.

Department of Mathematical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark.

出版信息

Philos Trans A Math Phys Eng Sci. 2022 Oct 3;380(2233):20210311. doi: 10.1098/rsta.2021.0311. Epub 2022 Aug 15.

Abstract

Long-term control of SARS-CoV-2 outbreaks depends on the widespread coverage of effective vaccines. In Australia, two-dose vaccination coverage of above 90% of the adult population was achieved. However, between August 2020 and August 2021, hesitancy fluctuated dramatically. This raised the question of whether settings with low naturally derived immunity, such as Queensland where less than [Formula: see text] of the population is known to have been infected in 2020, could have achieved herd immunity against 2021's variants of concern. To address this question, we used the agent-based model Covasim. We simulated outbreak scenarios (with the Alpha, Delta and Omicron variants) and assumed ongoing interventions (testing, tracing, isolation and quarantine). We modelled vaccination using two approaches with different levels of realism. Hesitancy was modelled using Australian survey data. We found that with a vaccine effectiveness against infection of 80%, it was possible to control outbreaks of Alpha, but not Delta or Omicron. With 90% effectiveness, Delta outbreaks may have been preventable, but not Omicron outbreaks. We also estimated that a decrease in hesitancy from 20% to 14% reduced the number of infections, hospitalizations and deaths by over 30%. Overall, we demonstrate that while herd immunity may not be attainable, modest reductions in hesitancy and increases in vaccine uptake may greatly improve health outcomes. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.

摘要

长期控制 SARS-CoV-2 疫情爆发取决于有效疫苗的广泛覆盖。在澳大利亚,90%以上的成年人完成了两剂疫苗接种。然而,在 2020 年 8 月至 2021 年 8 月期间,犹豫情绪波动剧烈。这就提出了一个问题,即在自然免疫力较低的环境中,如昆士兰州,据了解,2020 年不到[公式:见文本]的人口感染过,是否能够对 2021 年的关注变体产生群体免疫力。为了解决这个问题,我们使用了基于代理的模型 Covasim。我们模拟了爆发场景(包括 Alpha、Delta 和 Omicron 变体),并假设持续进行干预(检测、追踪、隔离和检疫)。我们使用两种不同逼真程度的方法模拟了疫苗接种。犹豫情绪使用澳大利亚的调查数据进行建模。我们发现,在感染疫苗有效性为 80%的情况下,控制 Alpha 的爆发是可能的,但不能控制 Delta 或 Omicron 的爆发。如果有效性为 90%,Delta 的爆发可能是可以预防的,但 Omicron 的爆发则不行。我们还估计,犹豫情绪从 20%降至 14%,可将感染、住院和死亡人数减少 30%以上。总体而言,我们表明,虽然群体免疫可能无法实现,但适度降低犹豫情绪和增加疫苗接种率可能会极大地改善健康结果。本文是主题为“模拟现实生活中的传染病的技术挑战和克服这些挑战的例子”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d072/9376720/55cb5c78ccbe/rsta20210311f01.jpg

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