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Autor/inn/enLiu, Dong; Lin, Ge; Sun, Xiaoting; Du, Yi; Liu, Han; Qu, Ming
TitelDifferent School Reopening Plans on Coronavirus Disease 2019 Case Growth Rates in the School Setting in the United States
QuelleIn: Journal of School Health, 91 (2021) 5, S.370-375 (6 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Liu, Dong)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0022-4391
DOI10.1111/josh.13009
SchlagwörterSchool Closing; COVID-19; Pandemics; Educational Planning; Elementary Secondary Education; Models; Distance Education; Disease Incidence; Blended Learning
AbstractBackground: In fall 2020, all public K-12 schools reopened in broadly 3 learning models. The hybrid model was considered a mid-risk option compared with remote and in-person learning models. The current study assesses school-based coronavirus disease 2019 (COVID-19) spread in the early fall using a national data set. Methods: We assess COVID-19 case growth rates from August 10 to October 14, 2020 based on a crowdsourcing data set from the National Education Association. The study follows a retrospective cohort design with the baseline exposures being 3 teaching models: remote learning only, hybrid, and in-person learning. To assess the consistency of our findings, we estimated the overall, as well as region-specific (Northeast, Midwest, South, and West) and poverty-specific (low, mid, and high) COVID-19 case-growth rates. In addition, we validated our study sample using another national sample survey data. Results: The baseline was from 617 school districts in 48 states, where 47% of school districts were in hybrid, 13% were in remote, and 40% were in-person. Controlling for state-level risk and rural-urban difference, the case growth rates for remote and in-person were lower than the hybrid (odds ratio [OR]: 0.963, 95% confidence interval [CI]: 0.960-0.965 and OR: 0.986, 95% CI: 0.984-0.988, respectively). A consistent result was found among school districts in all 4 regions and each poverty level. Conclusions: Hybrid may not necessarily be the next logical option when transitioning from the remote to in-person learning models due to its consistent higher case growth rates than the other 2 learning models. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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