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学校和社会餐饮场所中2019冠状病毒病感染的基于网络的实时风险评估

Web-based real-time risk assessment of coronavirus disease 2019 infection in schools and social dining settings.

作者信息

Okada Yuta, Ueda Minami, Nishiura Hiroshi

机构信息

Graduate School of Medicine, Kyoto University, Kyoto, 606-8503, Japan.

出版信息

New Microbes New Infect. 2025 May 20;65:101600. doi: 10.1016/j.nmni.2025.101600. eCollection 2025 Jun.

DOI:10.1016/j.nmni.2025.101600
PMID:40510847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12159886/
Abstract

BACKGROUND

Schools and dining situations are associated with a high risk of indoor transmission of coronavirus disease 2019 (COVID-19). Performing risk assessment in real time could enable organizers to adjust the duration and size of indoor activities depending on the epidemic situation.

METHODS

The per-hour transmission rates of COVID-19 from a single infector in school and social dining settings were estimated from COVID-19 surveillance data in Japan from January to February 2022 using a mathematical model. We then developed a web application that calculates the risk of COVID-19 infection in those settings, accounting for place of residence, vaccination history, duration of indoor activity, and the number of participants.

RESULTS

The estimated per-hour transmission rates were 0.01934 (95 %CrI: 0.01939-0.01947) in social dining settings and 0.00324 (95 %CrI: 0.00323-0.00325) in school settings. Accounting for the epidemiological risk of having infected persons in indoor settings, a web application was devised to compute the risk of a single participant contracting COVID-19 at the event. Web application users can vary input variables including the duration and the number of participants, thereby benefiting the real time risk reduction.

CONCLUSIONS

The per-hour transmission rate was higher in social dining settings compared with that in school settings, but the greater number of participants that is typical of gatherings at schools might offset this gap in per-hour per-infector transmission risk. The proposed web application can act as an important tool for promoting risk awareness regarding COVID-19 in high-risk settings.

摘要

背景

学校和餐饮场所与2019冠状病毒病(COVID-19)的室内传播高风险相关。实时进行风险评估可使活动组织者根据疫情情况调整室内活动的时长和规模。

方法

利用2022年1月至2月日本的COVID-19监测数据,通过数学模型估算了学校和社交餐饮场所中单个感染者的COVID-19每小时传播率。然后,我们开发了一个网络应用程序,该程序可计算这些场所中COVID-19感染风险,同时考虑居住地点、疫苗接种史、室内活动时长和参与者数量。

结果

社交餐饮场所的每小时传播率估计为0.01934(95%CrI:0.01939 - 0.01947),学校场所为0.00324(95%CrI:0.00323 - 0.00325)。考虑到室内场所存在感染者的流行病学风险,设计了一个网络应用程序来计算活动中单个参与者感染COVID-19的风险。网络应用程序的用户可以改变输入变量,包括活动时长和参与者数量,从而有助于实时降低风险。

结论

社交餐饮场所的每小时传播率高于学校场所,但学校聚会中通常较多的参与者数量可能会抵消每感染者每小时传播风险的这种差距。所提议的网络应用程序可作为提高高风险场所对COVID-19风险认识的重要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/b168edfde68c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/e686da48ac2c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/646101215b9b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/bc2527d7cf77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/b168edfde68c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/e686da48ac2c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/646101215b9b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/bc2527d7cf77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca78/12159886/b168edfde68c/gr4.jpg

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