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Different School Reopening Plans on Coronavirus Disease 2019 Case Growth Rates in the School Setting in the United States.
Liu, Dong; Lin, Ge; Sun, Xiaoting; Du, Yi; Liu, Han; Qu, Ming.
  • Liu D; Data analyst, (dong.liu@unmc.edu), Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha., USA.
  • Lin G; Professor, (ge.kan@unlv.edu Xiaoting), Department of Environmental and Occupational Health, University of Nevada, Las Vegas, Las Vegas., USA.
  • Sun X; Postdoctoral researcher, (xiaotingsun0405@tongji.edu.cn), Tenth people's Hospital, Tongji University School of Medicine, Shanghai, China.
  • Du Y; Epidemiology assistant, (yi.du@unmc.edu), Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha., USA.
  • Liu H; GIS coordinator, (han.liu@nebraska.gov), Epidemiology Informatics, Nebraska Department of Health and Human Service, Lincoln., USA.
  • Qu M; Senior Epidemiologist/ Research liaison, (ming.qu@nebraska.gov), Epidemiology Informatics, Nebraska Department of Health and Human Service, Lincoln., USA.
J Sch Health ; 91(5): 370-375, 2021 May.
Article in English | MEDLINE | ID: covidwho-1153562
ABSTRACT

BACKGROUND:

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Educational / Return to School / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Adolescent / Child / Humans Country/Region as subject: North America Language: English Journal: J Sch Health Year: 2021 Document Type: Article Affiliation country: Josh.13009

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Educational / Return to School / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Adolescent / Child / Humans Country/Region as subject: North America Language: English Journal: J Sch Health Year: 2021 Document Type: Article Affiliation country: Josh.13009