COVID-19-Related School Closures and Learning Modality Changes - United States, August 1-September 17, 2021

被引：31

作者：

Parks, Sharyn E. ^{[1
]}

Zviedrite, Nicole ^{[1
]}

Budzyn, Samantha E. ^{[1
,2
]}

Panaggio, Mark J. ^{[3
]}

Raible, Emma ^{[3
]}

Papazian, Marc ^{[4
]}

Magid, Jake ^{[4
]}

Ahmed, Faruque ^{[1
]}

Uzicanin, Amra ^{[1
]}

Barrios, Lisa C. ^{[1
]}

机构：

[1] CDC, COVID 19 Response Team, Atlanta, GA 30333 USA

[2] Booz Allen Hamilton, Mclean, VA USA

[3] Johns Hopkins Univ, Appl Phys Lab, Laurel, MD USA

[4] Palantir Technol, Denver, CO USA

来源：

MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT | 2021年 / 70卷 / 39期

关键词：

D O I：

10.15585/mmwr.mm7039e2

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Beginning in January 2021, the U.S. government prioritized ensuring continuity of learning for all students during the COVID-19 pandemic (1). To estimate the extent of COVID-19–associated school disruptions, CDC and the Johns Hopkins University Applied Physics Laboratory used a Hidden Markov Model (HMM) (2) statistical approach to estimate the most likely actual learning modality based on patterns observed in past data, accounting for conflicting or missing information and systematic Internet searches (3) for COVID-19–related school closures. This information was used to assess how many U.S. schools were open, and in which learning modalities, during August 1–September 17, 2021. Learning modalities included 1) full in-person learning, 2) a hybrid of in-person and remote learning, and 3) full remote learning. © 2021. MMWR Recommendations and Reports. All rights reserved.

引用

页码：1374 / 1376

页数：3

共 5 条

[1]

CDC, 2021, COVID 19 GUID COVID

[2]

Desilver D., 2019, BACK SCHOOLMEANS ANY

[3]

Office of the President of the United States, 2021, NAT STRAT COVID 19 R

[4] A TUTORIAL ON HIDDEN MARKOV-MODELS AND SELECTED APPLICATIONS IN SPEECH RECOGNITION [J].