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2022 年 1 月,法国、瑞士和意大利针对奥密克戎变异株高发情况下的学校中断情况采取最小化措施。

Minimising school disruption under high incidence conditions due to the Omicron variant in France, Switzerland, Italy, in January 2022.

机构信息

Sorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.

Aix Marseille Univ, Université de Toulon, CNRS, CPT, Turing Center for Living Systems, Marseille, France.

出版信息

Euro Surveill. 2023 Feb;28(5). doi: 10.2807/1560-7917.ES.2023.28.5.2200192.

Abstract

BackgroundAs record cases of Omicron variant were registered in Europe in early 2022, schools remained a vulnerable setting undergoing large disruption.AimThrough mathematical modelling, we compared school protocols of reactive screening, regular screening, and reactive class closure implemented in France, in Baselland (Switzerland), and in Italy, respectively, and assessed them in terms of case prevention, testing resource demand, and schooldays lost.MethodsWe used a stochastic agent-based model of SARS-CoV-2 transmission in schools accounting for within- and across-class contacts from empirical contact data. We parameterised it to the Omicron BA.1 variant to reproduce the French Omicron wave in January 2022. We simulated the three protocols to assess their costs and effectiveness for varying peak incidence rates in the range experienced by European countries.ResultsWe estimated that at the high incidence rates registered in France during the Omicron BA.1 wave in January 2022, the reactive screening protocol applied in France required higher test resources compared with the weekly screening applied in Baselland (0.50 vs 0.45 tests per student-week), but achieved considerably lower control (8% vs 21% reduction of peak incidence). The reactive class closure implemented in Italy was predicted to be very costly, leading to > 20% student-days lost.ConclusionsAt high incidence conditions, reactive screening protocols generate a large and unplanned demand in testing resources, for marginal control of school transmissions. Comparable or lower resources could be more efficiently used through weekly screening. Our findings can help define incidence levels triggering school protocols and optimise their cost-effectiveness.

摘要

背景

2022 年初,欧洲记录了大量奥密克戎变异病例,学校仍然是一个容易受到严重干扰的脆弱环境。

目的

通过数学建模,我们比较了法国、瑞士巴塞尔乡村州和意大利分别实施的反应性筛查、常规筛查和反应性班级关闭的学校方案,并根据病例预防、检测资源需求和停课天数对其进行评估。

方法

我们使用了一种基于代理的 SARS-CoV-2 在学校传播的随机模型,该模型考虑了来自经验接触数据的班级内和班级间接触。我们将其参数化到奥密克戎 BA.1 变体,以重现 2022 年 1 月法国的奥密克戎浪潮。我们模拟了这三种方案,以评估它们在欧洲国家经历的不同高峰发病率范围内的成本效益。

结果

我们估计,在 2022 年 1 月法国奥密克戎 BA.1 浪潮期间记录的高发病率下,法国实施的反应性筛查方案比巴塞尔乡村州实施的每周筛查方案(每学生每周 0.50 与 0.45 次检测)需要更高的检测资源,但控制效果要低得多(高峰发病率降低 8%与 21%)。意大利实施的反应性班级关闭方案预计成本非常高,导致超过 20%的学生停课。

结论

在高发病率情况下,反应性筛查方案会产生大量计划外的检测资源需求,对学校传播的控制效果有限。每周筛查可以更有效地利用类似或更少的资源。我们的研究结果可以帮助确定触发学校方案的发病率水平,并优化其成本效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4df/9896604/e0ec0c9d164e/2200192-f1.jpg

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