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遏制学校相关传播的新冠病毒检测策略:基于模型的诊断检测、筛查和监测的影响及成本分析

SARS-CoV-2 testing strategies to contain school-associated transmission: model-based analysis of impact and cost of diagnostic testing, screening, and surveillance.

作者信息

Bilinski Alyssa, Ciaranello Andrea, Fitzpatrick Meagan C, Giardina John, Shah Maunank, Salomon Joshua A, Kendall Emily A

出版信息

medRxiv. 2021 Aug 10:2021.05.12.21257131. doi: 10.1101/2021.05.12.21257131.

DOI:10.1101/2021.05.12.21257131
PMID:34401893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8366814/
Abstract

BACKGROUND

In March 2021, the Biden administration allocated $10 billion for COVID-19 testing in schools. We evaluate the costs and benefits of testing strategies to reduce the infection risks of full-time in-person K-8 education at different levels of community incidence.

METHODS

We used an agent-based network model to simulate transmission in elementary and middle school communities, parameterized to a US school structure and assuming dominance of the delta COVID-19 variant. We assess the value of different strategies for testing students and faculty/staff, including expanded diagnostic testing ("test to stay" policies that take the place of isolation for symptomatic students or quarantine for exposed classrooms); screening (routinely testing asymptomatic individuals to identify infections and contain transmission); and surveillance (testing a random sample of students to signaling undetected transmission and trigger additional investigation or interventions).

MAIN OUTCOME MEASURES

We project 30-day cumulative incidence of SARS-CoV-2 infection; proportion of cases detected; proportion of planned and unplanned days out of school; and the cost of testing programs and of childcare costs associated with different strategies. For screening policies, we further estimate cost per SARS-CoV-2 infection averted in students and staff, and for surveillance, probability of correctly or falsely triggering an outbreak response at different incidence and attack rates.

RESULTS

Accounting for programmatic and childcare costs, "test to stay" policies achieve similar model-projected transmission to quarantine policies, with reduced overall costs. Weekly universal screening prevents approximately 50% of in-school transmission, with a lower projected societal cost than hybrid or remote schooling. The cost per infection averted in students and staff by weekly screening is lower for older students and schools with higher mitigation and declines as community transmission rises. In settings where local student incidence is unknown or rapidly changing, surveillance may trigger detection of moderate-to-large in-school outbreaks with fewer resources compared to screening.

CONCLUSIONS

"Test to stay" policies and/or screening tests can facilitate consistent in-person school attendance with low transmission risk across a range of community incidence. Surveillance may be a useful reduced-cost option for detecting outbreaks and identifying school environments that may benefit from increased mitigation.

摘要

背景

2021年3月,拜登政府拨款100亿美元用于学校的新冠病毒检测。我们评估了在不同社区发病率水平下,检测策略对于降低K-8年级全日制面授教育感染风险的成本和效益。

方法

我们使用基于主体的网络模型来模拟小学和中学社区内的病毒传播情况,模型参数设定为美国学校结构,并假设新冠病毒德尔塔变种占主导地位。我们评估了对学生和教职员工进行不同检测策略的价值,包括扩大诊断检测(“检测留校”政策,即对出现症状的学生取代隔离措施,或对接触过病毒的班级取代检疫措施);筛查(对无症状个体进行常规检测以识别感染并控制传播);以及监测(对学生进行随机抽样检测,以发现未被检测到的传播并触发额外调查或干预)。

主要观察指标

我们预测了新冠病毒感染的30天累积发病率;检测出的病例比例;计划内和计划外缺课天数的比例;以及不同策略下检测项目的成本和与儿童保育相关的成本。对于筛查政策,我们进一步估计了避免学生和教职员工感染新冠病毒的单位成本,对于监测,我们估计了在不同发病率和攻击率下正确或错误触发疫情应对的概率。

结果

考虑到检测项目成本和儿童保育成本,“检测留校”政策在模型预测的传播控制效果上与检疫政策相似,但总体成本更低。每周进行全员筛查可预防约50%的校内传播,预计社会成本低于混合式或远程教学。对于高年级学生以及缓解措施执行较好的学校,每周筛查避免学生和教职员工感染的单位成本较低,且随着社区传播率上升而下降。在当地学生发病率未知或快速变化的情况下,与筛查相比,监测可能以更少的资源触发对中大型校内疫情的检测。

结论

“检测留校”政策和/或筛查检测能够在一系列社区发病率情况下,以低传播风险促进学生持续到校面授学习。监测可能是一种有用的低成本选项,用于检测疫情爆发并识别可能受益于加强缓解措施的学校环境。