COVID-19 发病率和小学入学年龄资格。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Eve Lin, Alyssa Bilinski, Philip A Collender, Vivian Lee, Sohil R Sud, Tomás M León, Lauren A White, Justin V Remais, Jennifer R Head
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引用次数: 0

摘要

重要性:了解入学率对 SARS-CoV-2 在儿童中传播的作用对于应对未来的流行病非常重要。按符合入学资格的年龄估算结果的不连续性已被用于研究入学率与各种结果之间的关系,但尚未用于描述入学率与传染病传播之间的关系:估计小学入学资格与 COVID-19 发病率之间的关系:该病例系列使用了2020年5月16日至2022年12月15日期间向加利福尼亚州疾病监测系统报告的所有小儿COVID-19病例的数据,这些病例发生在符合入学资格的年龄阈值之前24个月内的儿童中:COVID-19病例和住院人数:在 2020 年 5 月 16 日至 2022 年 12 月 15 日期间,有 688 278 例 COVID-19 病例(其中 348 957 例[50.7%]为男孩)和 1423 例住院病例发生在感染发生学年的 9 月 1 日之后 24 个月内年满 5 岁的儿童中。研究样本的平均(标清)年龄为 5.0 (1.3) 岁。在对在校人群较高的检测率进行调整后,符合幼儿园入学资格的人群(例如,在入学资格年龄阈值之前出生的人群)与在入学资格阈值之后出生的人群相比,2021 年秋季学期亲临现场的估计综合发病率比为 1.52(95% CI,1.36-1.68),2022 年春季学期亲临现场的估计综合发病率比为 1.26(95% CI,1.15-1.39),2022 年秋季学期亲临现场的估计综合发病率比为 1.19(95% CI,1.03-1.38)。在2021-2022年为期一个月的寒假期间,符合入学条件的儿童的报告发病率仍然较高,但在随后较长的暑假期间则较低。研究结果无法确定学校资格与 COVID-19 发病率之间的关联是否基于校内与校外路线(如教室与校车)。该研究缺乏检测入学率与住院率之间关联的能力。结果对函数形式的影响是稳健的。研究人员进行了一项模拟研究,以证明未根据接触状况对不同病例的获得情况进行调整所产生的偏差:在加利福尼亚州的这一儿童病例系列中,入学资格与 COVID-19 发病率之间的关联程度随时间推移而降低,总体上低于其他已发表的校外儿童社会互动与 COVID-19 发病率之间的关联程度。这种回归不连续设计方法可适用于其他地区和/或疾病系统,以评估学校教育与疾病传播之间的关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Incidence and Age Eligibility for Elementary School.

Importance: Understanding the role of school attendance on transmission of SARS-CoV-2 among children is of importance for responding to future epidemics. Estimating discontinuities in outcomes by age of eligibility for school attendance has been used to examine associations between school attendance and a variety of outcomes, but has yet to be applied to describe associations between school attendance and communicable disease transmission.

Objective: To estimate the association between eligibility for elementary school and COVID-19 incidence.

Design, setting, and participants: This case series used data on all pediatric COVID-19 cases reported to California's disease surveillance system between May 16, 2020, and December 15, 2022, among children within 24 months of the age threshold for school eligibility.

Exposure: Birthdate before or after the age threshold for elementary school eligibility during periods when school was remote vs in person.

Main outcomes and measures: COVID-19 cases and hospitalizations.

Results: Between May 16, 2020, and December 15, 2022, there were 688 278 cases of COVID-19 (348 957 cases [50.7%] among boys) and 1423 hospitalizations among children who turned 5 years within 24 months of September 1 of the school year when their infection occurred. The mean (SD) age of the study sample was 5.0 (1.3) years. After adjusting for higher rates of testing in schooled populations, the estimated pooled incidence rate ratio among kindergarten-eligible individuals (eg, those born just before the age threshold for school eligibility) compared with those born just after the eligibility threshold for in-person fall 2021 semester was 1.52 (95% CI, 1.36-1.68), for in-person spring 2022 semester was 1.26 (95% CI, 1.15-1.39), and for in-person fall 2022 semester was 1.19 (95% CI, 1.03-1.38). Reported incidence rates among school-eligible children remained higher during the month-long winter 2021-2022 school break but were lower during the longer summer break that followed. The findings were unable to establish whether associations between school eligibility and COVID-19 incidence were based on in-school vs out-of-school routes (eg, classrooms vs school buses). The study lacked power to detect associations between school attendance and hospitalization. Results were robust to functional form. A simulation study was conducted to demonstrate bias associated with nonadjustment for differential case acquisition by exposure status.

Conclusions and relevance: In this case series of children in California, the magnitude of the association between school eligibility and COVID-19 incidence decreased over time and was generally lower than other published associations between out-of-school child social interactions and COVID-19 incidence. This regression discontinuity design approach could be adapted to other geographies and/or disease systems to assess associations between schooling and disease transmission.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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