School-level data on COVID-19 cases, quarantines, and student absenteeism during the COVID-19 pandemic: understanding missingness

新冠疫情期间学校层面的新冠病例、隔离和学生缺勤数据:了解缺勤情况

阅读:1

Abstract

Availability of school-based infectious disease surveillance data (eg, COVID-19 cases, student absences) based on experiences during the COVID-19 pandemic were studied using a national sample of public kindergarten through 12th grade schools (n = 1602). Based on surveys administered to school administrators throughout the 2021-2022 school year, we found high levels of missingness data for school-level COVID-19 cases, quarantines, and student absenteeism, increasing missingness over time, and variations in missingness by school characteristics (eg, school size) and protocols (eg, having a school-based system to report at-home COVID-19 tests). For the same sample of schools, using data requests to health departments, we found similarly high levels of missingness of school-level COVID-19 case data and varying approaches in data collection. Developing nationally standardized case definitions-and systems to surveil or collect and monitor school-based infectious disease outcomes early in a public health emergency-may be helpful in producing actionable data.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。