Suppr超能文献

在中国实现安全退出“零新冠”政策的可行干预组合及其决定因素:基于个体的模型研究。

Feasible intervention combinations for achieving a safe exit of the Zero-COVID policy in China and its determinants: an individual-based model study.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Departments of Epidemiology and Biostatistics, School of Public Health, Guangzhou Medical University, Guangzhou, China.

出版信息

BMC Infect Dis. 2023 Jun 12;23(1):390. doi: 10.1186/s12879-023-08382-x.

Abstract

BACKGROUND

Although several pathways have been proposed as the prerequisite for a safe phase-out in China, it is not clear which of them are the most important for keeping the mortality rate low, what thresholds should be achieved for these most important interventions, and how the thresholds change with the assumed key epidemiological parameters and population characteristics.

METHODS

We developed an individual-based model (IBM) to simulate the transmission of the Omicron variant in the synthetic population, accounting for the age-dependent probabilities of severe clinical outcomes, waning vaccine-induced immunity, increased mortality rates when hospitals are overburdened, and reduced transmission when self-isolated at home after testing positive. We applied machine learning algorithms on the simulation outputs to examine the importance of each intervention parameter and the feasible intervention parameter combinations for safe exits, which is defined as having mortality rates lower than that of influenza in China (14.3 per 100, 000 persons).

RESULTS

We identified vaccine coverage in those above 70 years old, number of ICU beds per capita, and the availability of antiviral treatment as the most important interventions for safe exits across all studied locations, although the thresholds required for safe exits vary remarkably with the assumed vaccine effectiveness, as well as the age structure, age-specific vaccine coverage, community healthcare capacity of the studied locations.

CONCLUSIONS

The analytical framework developed here can provide the basis for further policy decisions that incorporate considerations about economic costs and societal impacts. Achieving safe exits from the Zero-COVID policy is possible, but challenging for China's cities. When planning for safe exits, local realities such as the age structure and current age-specific vaccine coverage must be taken into consideration.

摘要

背景

尽管有几种途径被提出作为中国安全淘汰的前提条件,但尚不清楚哪些途径对保持低死亡率最重要,这些最重要的干预措施应达到什么阈值,以及这些阈值如何随着假设的关键流行病学参数和人口特征而变化。

方法

我们开发了一个基于个体的模型(IBM)来模拟奥密克戎变异在合成人群中的传播,考虑到严重临床结局的年龄依赖性概率、疫苗诱导免疫的衰减、医院负担过重时死亡率的增加以及在家自我隔离后传播的减少当测试呈阳性时。我们在模拟输出上应用机器学习算法来检查每个干预参数的重要性以及安全退出的可行干预参数组合,这被定义为死亡率低于中国的流感(每 10 万人 14.3 人)。

结果

我们确定了 70 岁以上人群的疫苗接种覆盖率、人均 ICU 床位数量以及抗病毒治疗的可及性是所有研究地点安全退出的最重要干预措施,尽管安全退出所需的阈值因假设的疫苗效力以及研究地点的年龄结构、年龄特异性疫苗接种覆盖率、社区医疗保健能力而有很大差异。

结论

这里开发的分析框架可以为进一步的政策决策提供依据,这些决策考虑到经济成本和社会影响。从零 COVID 政策实现安全退出是可能的,但对中国的城市来说是具有挑战性的。在规划安全退出时,必须考虑当地的实际情况,如年龄结构和当前的年龄特异性疫苗接种覆盖率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/848d/10258948/96c3c77bf0fc/12879_2023_8382_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验