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中国存在免疫减弱和抗体依赖性增强(ADE)时 COVID-19 复燃风险的数学建模研究。

The resurgence risk of COVID-19 in China in the presence of immunity waning and ADE: A mathematical modelling study.

机构信息

School of Mathematics and Statistics, Shaanxi Normal University, Xi'an 710119, PR China.

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, PR China.

出版信息

Vaccine. 2022 Nov 22;40(49):7141-7150. doi: 10.1016/j.vaccine.2022.10.043. Epub 2022 Oct 26.

Abstract

The mass vaccination program has been actively promoted since the end of 2020. However, waning immunity, antibody-dependent enhancement (ADE), and increased transmissibility of variants make the herd immunity untenable and the implementation of dynamic zero-COVID policy challenging in China. To explore how long the vaccination program can prevent China at low resurgence risk, and how these factors affect the long-term trajectory of the COVID-19 epidemics, we developed a dynamic transmission model of COVID-19 incorporating vaccination and waning immunity, calibrated using the data of accumulative vaccine doses administered and the COVID-19 epidemic in 2020 in mainland China. The prediction suggests that the vaccination coverage with at least one dose reach 95.87%, and two doses reach 77.92% on 31 August 2021. However, despite the mass vaccination, randomly introducing infected cases in the post-vaccination period causes large outbreaks quickly with waning immunity, particularly for SARS-CoV-2 variants with higher transmissibility. The results showed that with the current vaccination program and 50% of the population wearing masks, mainland China can be protected at low resurgence risk until 8 January 2023. However, ADE and higher transmissibility for variants would significantly shorten the low-risk period by over 1 year. Furthermore, intermittent outbreaks can occur while the peak values of the subsequent outbreaks decrease, indicating that subsequent outbreaks boosted immunity in the population level, further indicating that follow-up vaccination programs can help mitigate or avoid the possible outbreaks. The findings revealed that the integrated effects of multiple factors: waning immunity, ADE, relaxed interventions, and higher variant transmissibility, make controlling COVID-19 challenging. We should prepare for a long struggle with COVID-19, and not entirely rely on the COVID-19 vaccine.

摘要

自 2020 年底以来,大规模疫苗接种计划一直在积极推进。然而,免疫效力下降、抗体依赖性增强(ADE)以及变异体传播能力增强,使得群体免疫难以实现,中国实施动态零新冠政策面临挑战。为了探索疫苗接种计划能在多大程度上使中国保持低复发风险,以及这些因素如何影响新冠疫情的长期轨迹,我们开发了一个包含疫苗接种和免疫效力下降的新冠动态传播模型,该模型使用中国大陆累计接种剂量和 2020 年新冠疫情数据进行了校准。预测结果表明,截至 2021 年 8 月 31 日,至少接种一剂疫苗的覆盖率达到 95.87%,接种两剂疫苗的覆盖率达到 77.92%。然而,尽管大规模接种疫苗,但在接种后阶段随机引入感染病例会导致免疫效力下降,尤其是对传染性更强的 SARS-CoV-2 变异体,很快就会引发大规模疫情。结果表明,在当前疫苗接种计划和 50%人口戴口罩的情况下,中国大陆可以在低复发风险下得到保护,直到 2023 年 1 月 8 日。然而,ADE 和变异体的更高传染性会使低风险期显著缩短 1 年以上。此外,即使后续疫情的峰值下降,间歇性爆发仍可能发生,这表明后续疫情在人群层面上增强了免疫力,进一步表明后续的疫苗接种计划有助于减轻或避免可能的疫情爆发。研究结果表明,多种因素的综合影响:免疫效力下降、ADE、干预措施放松和更高的变异体传播能力,使得控制新冠疫情变得具有挑战性。我们应该为与新冠病毒的长期斗争做好准备,不能完全依赖新冠疫苗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c9a/9597525/e2a1f1844497/gr1_lrg.jpg

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