Evidence map›Paper›PMID 33765026›Full record

ArticlePloS one2021

In the long shadow of our best intentions: Model-based assessment of the consequences of school reopening during the COVID-19 pandemic.

Kaitlyn E Johnson, Madison Stoddard, Ryan P Nolan, Douglas E White, Natasha S Hochberg, Arijit Chakravarty

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measures implemented in the school setting to contain the COVID-19 pandemicThe Cochrane database of systematic reviews · 2022
    Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kaitlyn E JohnsonDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America.ORCID 0000-0001-8011-0012
Madison StoddardFractal Therapeutics, Cambridge, MA, United States of America.
Ryan P NolanHalozyme Therapeutics, San Diego, CA, United States of America.
Douglas E WhiteIndependent Researcher, Atlanta, GA, United States of America.
Natasha S HochbergDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America.ORCID 0000-0002-5449-9973
Arijit ChakravartyFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0003-1338-5432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the world grapples with the ongoing COVID-19 pandemic, a particularly thorny set of questions surrounds the reopening of primary and secondary (K-12) schools. The benefits of in-person learning are numerous, in terms of education quality, mental health, emotional well-being, equity and access to food and shelter. Early reports suggested that children might have reduced susceptibility to COVID-19, and children have been shown to experience fewer complications than older adults. Over the past few months, our understanding of COVID-19 has been further shaped by emerging data, and it is now understood that children are as susceptible to infection as adults and have a similar viral load during infection, even if asymptomatic. Based on this updated understanding of the disease, we have used epidemiological modeling to explore the feasibility and consequences of school reopening in the face of differing rates of COVID-19 prevalence and transmission. We focused our analysis on the United States, but the results are applicable to other countries as well. We demonstrate the potential for a large discrepancy between detected cases and true infections in schools due to the combination of high asymptomatic rates in children coupled with delays in seeking testing and receiving results from diagnostic tests. Our findings indicate that, regardless of the initial prevalence of the disease, and in the absence of robust surveillance testing and contact-tracing, most schools in the United States can expect to remain open for 20-60 days without the emergence of sizeable disease clusters. At this point, even if schools choose to close after outbreaks occur, COVID-19 cases will be seeded from these school clusters and amplified into the community. Thus, our findings suggest that the debate between the risks to student safety and benefits of in-person learning frames a false dual choice. Reopening schools without surveillance testing and contact tracing measures in place will lead to spread within the schools and within the communities that eventually forces a return to remote learning and leaves a trail of infection in its wake.

Indexed as

Models, TheoreticalContact TracingCOVID-19COVID-19 TestingHumansPandemicsPrevalenceSARS-CoV-2SchoolsUnited States

Identifiers

PMID33765026
PMCPMC7993767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.