Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
School of Business and Economics, Indiana University Northwest, Gary, Indiana, USA.
Clin Infect Dis. 2022 Jan 7;74(1):17-23. doi: 10.1093/cid/ciab306.
Our goal was to determine the county-level effect of in-person primary and secondary school reopening on daily cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Indiana.
In this county-level, population-based study, we used a panel data regression analysis of the proportion of in-person learning to evaluate an association with community-wide daily new SARS-CoV-2 cases. The study period was 12 July 2020-6 October 2020. We included 73 of 92 (79.3%) Indiana counties in the analysis, accounting for 85.7% of school corporations and 90.6% of student enrollment statewide. The primary exposure was the proportion of students returning to in-person instruction. The primary outcome was the daily new SARS-CoV-2 cases per 100 000 residents at the county level.
There is a statistically significant relationship between the proportion of students attending K-12 schools in-person and the county level daily cases of SARS-CoV-2 28 days later. For all ages, the coefficient of interest (β) is estimated at 3.36 (95% confidence interval, 1.91 to 4.81; P < .001). This coefficient represents the effect of a change in the proportion of students attending in-person on new daily cases 28 days later. For example, a 10 percentage point increase in K-12 students attending school in-person is associated with a daily increase in SARS-CoV-2 cases in the county equal to 0.336 cases/100 000 residents of all ages.
In-person primary and secondary school is associated with a statistically significant but proportionally small increase in the spread of SARS-CoV-2 cases.
我们的目标是确定印第安纳州面对面的中小学重新开放对严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2)每日病例的县级影响。
在这项县级、基于人群的研究中,我们使用面对面学习比例的面板数据回归分析来评估与社区范围内每日新 SARS-CoV-2 病例的关联。研究期间为 2020 年 7 月 12 日至 2020 年 10 月 6 日。我们将印第安纳州 92 个县中的 73 个县(79.3%)纳入分析,占学校公司的 85.7%和全州学生入学率的 90.6%。主要暴露因素是学生返回面对面教学的比例。主要结局是县级每 10 万人的每日新 SARS-CoV-2 病例数。
学生面对面参加 K-12 学校的比例与 28 天后县级 SARS-CoV-2 每日病例数之间存在统计学显著关系。对于所有年龄段,感兴趣的系数(β)估计为 3.36(95%置信区间,1.91 至 4.81;P <0.001)。这个系数代表了学生面对面上学比例变化对 28 天后新的每日病例数的影响。例如,K-12 学生面对面上学的比例增加 10 个百分点,与全县所有年龄段的 SARS-CoV-2 病例每天增加 0.336 例/每 10 万居民有关。
面对面的中小学与 SARS-CoV-2 病例传播的统计学显著但比例较小的增加有关。