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北京 2022 年冬奥会期间 COVID-19 防控措施的优化:基于模型的研究。

Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study.

机构信息

Department of Mathematics and Physics, North China Electric Power University, Baoding, 071003, China.

Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding, 071003, China.

出版信息

Infect Dis Poverty. 2022 Sep 6;11(1):95. doi: 10.1186/s40249-022-01019-2.

Abstract

BACKGROUND

The continuous mutation of severe acute respiratory syndrome coronavirus 2 has made the coronavirus disease 2019 (COVID-19) pandemic complicated to predict and posed a severe challenge to the Beijing 2022 Winter Olympics and Winter Paralympics held in February and March 2022.

METHODS

During the preparations for the Beijing 2022 Winter Olympics, we established a dynamic model with pulse detection and isolation effect to evaluate the effect of epidemic prevention and control measures such as entry policies, contact reduction, nucleic acid testing, tracking, isolation, and health monitoring in a closed-loop management environment, by simulating the transmission dynamics in assumed scenarios. We also compared the importance of each parameter in the combination of intervention measures through sensitivity analysis.

RESULTS

At the assumed baseline levels, the peak of the epidemic reached on the 57th day. During the simulation period (100 days), 13,382 people infected COVID-19. The mean and peak values of hospitalized cases were 2650 and 6746, respectively. The simulation and sensitivity analysis showed that: (1) the most important measures to stop COVID-19 transmission during the event were daily nucleic acid testing, reducing contact among people, and daily health monitoring, with cumulative infections at 0.04%, 0.14%, and 14.92% of baseline levels, respectively (2) strictly implementing the entry policy and reducing the number of cases entering the closed-loop system could delay the peak of the epidemic by 9 days and provide time for medical resources to be mobilized; (3) the risk of environmental transmission was low.

CONCLUSIONS

Comprehensive measures under certain scenarios such as reducing contact, nucleic acid testing, health monitoring, and timely tracking and isolation could effectively prevent virus transmission. Our research results provided an important reference for formulating prevention and control measures during the Winter Olympics, and no epidemic spread in the closed-loop during the games indirectly proved the rationality of our research results.

摘要

背景

严重急性呼吸综合征冠状病毒 2 的持续突变使 2019 年冠状病毒病(COVID-19)大流行变得难以预测,给 2022 年 2 月至 3 月举行的北京 2022 年冬奥会和冬残奥会带来了严峻挑战。

方法

在 2022 年北京冬奥会筹备期间,我们建立了一个具有脉搏检测和隔离效果的动态模型,通过模拟假设场景中的传播动力学,评估入境政策、减少接触、核酸检测、追踪、隔离和健康监测等疫情防控措施的效果。我们还通过敏感性分析比较了干预措施组合中每个参数的重要性。

结果

在假设的基线水平下,疫情的高峰期出现在第 57 天。在模拟期间(100 天),有 13382 人感染了 COVID-19。住院病例的平均值和峰值分别为 2650 和 6746。模拟和敏感性分析表明:(1)在活动期间阻止 COVID-19 传播的最重要措施是每日核酸检测、减少人与人之间的接触和每日健康监测,累积感染率分别为基线水平的 0.04%、0.14%和 14.92%;(2)严格执行入境政策,减少进入闭环系统的病例数量可将疫情高峰期推迟 9 天,为调动医疗资源争取时间;(3)环境传播风险较低。

结论

在减少接触、核酸检测、健康监测、及时追踪和隔离等某些场景下采取综合措施可以有效预防病毒传播。我们的研究结果为制定冬奥会期间的防控措施提供了重要参考,而在比赛期间闭环内没有疫情传播间接证明了我们研究结果的合理性。

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