Department of Engineering Physics, Tsinghua University, Beijing 100084, China.
Int J Environ Res Public Health. 2023 Jan 29;20(3):2408. doi: 10.3390/ijerph20032408.
This study aimed to analyze the impact of hosting large events on the spread of pandemics, taking Tokyo Olympics 2020 as a case study. A risk assessment method for the whole organization process was established, which could be used to evaluate the effectiveness of various risk mitigation measures. Different scenarios for Games participants and Japanese residents during the Tokyo Olympics were designed based on the infection control protocols proposed by the Olympic Committee and local governments. A modified Wells-Riley model considering the influence of social distance, masking and vaccination, and an SIQRV model that introduced the effect of quarantine and vaccination strategies on the pandemic spread were developed in this study. Based on the two models, our predicted results of daily confirmed cases and cumulative cases were obtained and compared with reported data, where good agreement was achieved. The results show that the two core infection control strategies of the bubble scheme and frequent testing scheme curbed the spread of the COVID-19 pandemic during the Tokyo Olympics. Among Games participants, Japanese local staff accounted for more than 60% of the total in positive cases due to their large population and most relaxed travel restrictions. The surge in positive cases was mainly attributed to the high transmission rate of the Delta variant and the low level of immunization in Japan. Based on our simulation results, the risk management flaws for the Tokyo Olympics were identified and improvement measures were investigated. Moreover, a further analysis was carried out on the impact of different preventive measures with respect to minimizing the transmission of new variants with higher transmissibility. Overall, the findings in this study can help policymakers to design scientifically based and practical countermeasures to cope with pandemics during the hosting of large events.
本研究旨在分析举办大型活动对大流行传播的影响,以东京奥运会 2020 年为案例研究。建立了一个针对整个组织过程的风险评估方法,可用于评估各种风险缓解措施的有效性。根据奥运会委员会和地方政府提出的感染控制协议,为本研究设计了不同的奥运会参与者和日本居民的场景。本研究开发了一个考虑社交距离、口罩和疫苗接种影响的修正 Wells-Riley 模型,以及一个引入隔离和疫苗接种策略对大流行传播影响的 SIQRV 模型。基于这两个模型,我们预测了每日确诊病例和累积病例的结果,并与报告数据进行了比较,结果吻合良好。结果表明,泡泡方案和频繁检测方案这两个核心感染控制策略遏制了东京奥运会期间 COVID-19 大流行的传播。在奥运会参与者中,由于日本本地工作人员数量庞大且旅行限制最宽松,他们在阳性病例中占比超过 60%。阳性病例的激增主要归因于 Delta 变异株的高传播率和日本较低的免疫水平。基于我们的模拟结果,确定了东京奥运会的风险管理缺陷,并研究了改进措施。此外,还进一步分析了不同预防措施对减少具有更高传染性的新型变体传播的影响。总的来说,本研究的结果可以帮助政策制定者设计基于科学和实际的对策,以应对大型活动期间的大流行。