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开发用于户外音乐节参与者的 COVID-19 风险评估模型:基于日本和西班牙的两次实际事件评估有效性和控制措施效果。

Development of a COVID-19 risk assessment model for participants at outdoor music festivals: evaluation of the validity and control measure effectiveness based on two actual events in Japan and Spain.

机构信息

Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Osaka, Japan.

Institute for Geo-Resources and Environment, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

出版信息

PeerJ. 2022 Aug 8;10:e13846. doi: 10.7717/peerj.13846. eCollection 2022.

Abstract

We developed an environmental exposure model to estimate the coronavirus disease 2019 (COVID-19) risk among participants at outdoor music festivals and validated the model using two real events-one in Japan (Event 1) and one in Spain (Event 2). Furthermore, we considered a hypothetical situation in which Event 1 was held but enhanced measures were implemented to evaluate the extent to which the risk could be reduced by additional infection control measures, such as negative antigen tests on the day of the event, wearing of masks, disinfection of environmental surfaces, and vaccination. Among 7,392 participants, the total number of already- and newly-infected individuals who participated in Event 1 according to the new model was 47.0 (95% uncertainty interval: 12.5-185.5), which is in good agreement with the reported value (45). The risk of infection at Event 2 (1.98 × 10; 95% uncertainty interval: 0.55 × 10-6.39 × 10), calculated by the model in this study, was also similar to the estimated value in the previous epidemiological study (1.25 × 10). These results for the two events in different countries highlighted the validity of the model. Among the additional control measures in the hypothetical Event 1, vaccination, mask-wearing, and disinfection of surfaces were determined to be effective. Based on the combination of all measures, a 94% risk reduction could be achieved. In addition to setting a benchmark for an acceptable number of newly-infected individuals at the time of an event, the application of this model will enable us to determine whether it is necessary to implement additional measures, limit the number of participants, or refrain from holding an event.

摘要

我们开发了一个环境暴露模型,以估计参加户外音乐节的参与者患 2019 年冠状病毒病(COVID-19)的风险,并使用两个真实事件(一个在日本(事件 1),一个在西班牙(事件 2))验证了该模型。此外,我们考虑了一个假设的情况,即举行了事件 1,但实施了增强措施,以评估通过额外的感染控制措施(如在活动当天进行抗原阴性检测、佩戴口罩、对环境表面进行消毒和接种疫苗)可以降低风险的程度。在 7392 名参与者中,根据新模型,参加事件 1 的已感染和新感染人数总计为 47.0(95%不确定性区间:12.5-185.5),这与报告值(45)吻合较好。本研究模型计算的事件 2 的感染风险(1.98×10;95%不确定性区间:0.55×10-6.39×10)也与之前的流行病学研究中估计的值(1.25×10)相似。这两个在不同国家的事件的结果突出了该模型的有效性。在假设的事件 1 中,额外的控制措施中,接种疫苗、戴口罩和对表面进行消毒被确定为有效。基于所有措施的组合,可以实现 94%的风险降低。除了为事件期间新感染人数设定可接受的基准外,该模型的应用还将使我们能够确定是否有必要实施额外的措施、限制参与者的数量或避免举办活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a05e/9368994/ef8c0384f8cb/peerj-10-13846-g001.jpg

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