Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools.

IF 1.9 Q3 HEALTH CARE SCIENCES & SERVICES
MDM Policy and Practice Pub Date : 2022-12-03 eCollection Date: 2022-07-01 DOI:10.1177/23814683221140866
Yiwei Zhang, Maria E Mayorga, Julie Ivy, Kristen Hassmiller Lich, Julie L Swann
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引用次数: 0

Abstract

Background. The novel coronavirus SARS-CoV-2 spread across the world causing many waves of COVID-19. Children were at high risk of being exposed to the disease because they were not eligible for vaccination during the first 20 mo of the pandemic in the United States. While children 5 y and older are now eligible to receive a COVID-19 vaccine in the United States, vaccination rates remain low despite most schools returning to in-person instruction. Nonpharmaceutical interventions (NPIs) are important for controlling the spread of COVID-19 in K-12 schools. US school districts used varied and layered mitigation strategies during the pandemic. The goal of this article is to analyze the impact of different NPIs on COVID-19 transmission within K-12 schools. Methods. We developed a deterministic stratified SEIR model that captures the role of social contacts between cohorts in disease transmission to estimate COVID-19 incidence under different NPIs including masks, random screening, contact reduction, school closures, and test-to-stay. We designed contact matrices to simulate the contact patterns between students and teachers within schools. We estimated the proportion of susceptible infected associated with each intervention over 1 semester under the Omicron variant. Results. We find that masks and reducing contacts can greatly reduce new infections among students. Weekly screening tests also have a positive impact on disease mitigation. While self-quarantining symptomatic infections and school closures are effective measures for decreasing semester-end infections, they increase absenteeism. Conclusion. The model provides a useful tool for evaluating the impact of a variety of NPIs on disease transmission in K-12 schools. While the model is tested under Omicron variant parameters in US K-12 schools, it can be adapted to study other populations under different disease settings.

Highlights: A stratified SEIR model was developed that captures the role of social contacts in K-12 schools to estimate COVID-19 transmission under different nonpharmaceutical interventions.While masks, random screening, contact reduction, school closures, and test-to-stay are all beneficial interventions, masks and contact reduction resulted in the greatest reduction in new infections among students from the tested scenarios.Layered interventions provide more benefits than implementing interventions independently.

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模拟非药物干预对 K-12 学校 COVID-19 传播的影响。
背景。新型冠状病毒 SARS-CoV-2 在全球范围内传播,引发了多次 COVID-19 浪潮。由于在美国大流行的前 20 个月中儿童没有资格接种疫苗,因此他们感染该疾病的风险很高。虽然美国 5 岁及以上儿童现在有资格接种 COVID-19 疫苗,但尽管大多数学校恢复了面授教学,疫苗接种率仍然很低。非药物干预措施 (NPI) 对于控制 COVID-19 在 K-12 学校的传播非常重要。美国学区在大流行期间采用了多种多样、层层递进的缓解策略。本文旨在分析不同 NPI 对 K-12 学校内 COVID-19 传播的影响。方法。我们建立了一个确定性的分层 SEIR 模型,该模型捕捉了不同人群之间的社会接触在疾病传播中的作用,以估计不同 NPI(包括口罩、随机筛查、减少接触、关闭学校和留校检测)下的 COVID-19 发病率。我们设计了接触矩阵来模拟学校内学生和教师之间的接触模式。我们估算了在 Omicron 变体下,与每种干预措施相关的易感人群在一个学期内的感染比例。结果我们发现,戴口罩和减少接触可大大减少学生中的新感染病例。每周的筛查测试也会对疾病缓解产生积极影响。虽然自我隔离有症状的感染者和关闭学校是减少学期末感染的有效措施,但它们会增加缺勤率。结论。该模型为评估各种非传染性疾病对 K-12 学校疾病传播的影响提供了有用的工具。虽然该模型是在美国 K-12 学校的 Omicron 变异参数下进行测试的,但它也可用于研究其他人群在不同疾病环境下的情况:虽然口罩、随机筛查、减少接触、关闭学校和留校检测都是有益的干预措施,但口罩和减少接触能最大程度地减少测试方案中学生的新发感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
MDM Policy and Practice
MDM Policy and Practice Medicine-Health Policy
CiteScore
2.50
自引率
0.00%
发文量
28
审稿时长
15 weeks
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