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运用中国 101 起疫情数据推算出的动态清零政策遏制新冠疫情的阈值条件。

Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China.

机构信息

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

Center for Intersection of Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, 710049, P.R. China.

出版信息

BMC Public Health. 2023 Jun 6;23(1):1084. doi: 10.1186/s12889-023-16009-8.

Abstract

By 31 May 2022, original/Alpha, Delta and Omicron strains induced 101 outbreaks of COVID-19 in mainland China. Most outbreaks were cleared by combining non-pharmaceutical interventions (NPIs) with vaccines, but continuous virus variations challenged the dynamic zero-case policy (DZCP), posing questions of what are the prerequisites and threshold levels for success? And what are the independent effects of vaccination in each outbreak? Using a modified classic infectious disease dynamic model and an iterative relationship for new infections per day, the effectiveness of vaccines and NPIs was deduced, from which the independent effectiveness of vaccines was derived. There was a negative correlation between vaccination coverage rates and virus transmission. For the Delta strain, a 61.8% increase in the vaccination rate (VR) reduced the control reproduction number (CRN) by about 27%. For the Omicron strain, a 20.43% increase in VR, including booster shots, reduced the CRN by 42.16%. The implementation speed of NPIs against the original/Alpha strain was faster than the virus's transmission speed, and vaccines significantly accelerated the DZCP against the Delta strain. The CRN ([Formula: see text]) during the exponential growth phase and the peak time and intensity of NPIs were key factors affecting a comprehensive theoretical threshold condition for DZCP success, illustrated by contour diagrams for the CRN under different conditions. The DZCP maintained the [Formula: see text] of 101 outbreaks below the safe threshold level, but the strength of NPIs was close to saturation especially for Omicron, and there was little room for improvement. Only by curbing the rise in the early stage and shortening the exponential growth period could clearing be achieved quickly. Strengthening China's vaccine immune barrier can improve China's ability to prevent and control epidemics and provide greater scope for the selection and adjustment of NPIs. Otherwise, there will be rapid rises in infection rates and an extremely high peak and huge pressure on the healthcare system, and a potential increase in excess mortality.

摘要

截至 2022 年 5 月 31 日,原始/阿尔法、德尔塔和奥密克戎变异株在中国引发了 101 起新冠肺炎疫情暴发。大多数疫情通过将非药物干预(NPI)与疫苗相结合得到控制,但病毒的持续变异对动态清零政策(DZCP)提出了挑战,提出了成功的前提条件和阈值水平是什么?以及疫苗在每次暴发中的独立作用是什么?通过使用改进的经典传染病动力学模型和新感染人数的迭代关系,推导出了疫苗和 NPI 的有效性,并从中得出了疫苗的独立有效性。疫苗接种覆盖率与病毒传播之间存在负相关。对于德尔塔变异株,接种率(VR)提高 61.8%可使控制繁殖数(CRN)降低约 27%。对于奥密克戎变异株,VR 提高 20.43%,包括加强针,可使 CRN 降低 42.16%。针对原始/阿尔法变异株的 NPI 实施速度快于病毒传播速度,疫苗显著加快了针对德尔塔变异株的 DZCP。CRN([Formula: see text])在指数增长阶段和 NPI 的峰值时间和强度是影响 DZCP 成功的综合理论阈值条件的关键因素,通过不同条件下的 CRN 等高线图说明了这一点。DZCP 将 101 起暴发的[Formula: see text]维持在安全阈值以下,但 NPI 的强度,尤其是针对奥密克戎变异株,已接近饱和,几乎没有改进的空间。只有在早期遏制上升并缩短指数增长期,才能迅速清除疫情。加强中国的疫苗免疫屏障可以提高中国的疫情防控能力,并为 NPI 的选择和调整提供更大的空间。否则,感染率会迅速上升,医疗体系将面临极高的峰值和巨大的压力,超额死亡率也会有潜在增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1d6/10243004/50a8b7ba2589/12889_2023_16009_Fig1_HTML.jpg

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