Evidence map›Paper›PMID 36812533›Full record

ArticlePLOS digital health2022

Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy.

Brennan Klein, Nicholas Generous, Matteo Chinazzi, Zarana Bhadricha, Rishab Gunashekar, Preeti Kori, Bodian Li, Stefan McCabe, Jon Green, David Lazer and 3 more

Abstract read
In one paragraph

Article in PLOS digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Paradoxes in the coevolution of contagions and institutions.Proceedings. Biological sciences · 2024
    Article
  5. Inferring COVID-19 testing and vaccination behavior from New Jersey testing data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

13 authors.

Brennan KleinNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0001-8326-5044
Nicholas GenerousNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0003-2238-428X
Matteo ChinazziNetwork Science Institute, Northeastern University, Boston, United States of America.
Zarana BhadrichaNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0003-1424-2409
Rishab GunashekarNetwork Science Institute, Northeastern University, Boston, United States of America.
Preeti KoriNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0002-7601-9221
Bodian LiNetwork Science Institute, Northeastern University, Boston, United States of America.
Stefan McCabeNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0002-7180-145X
Jon GreenNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0002-6542-6745
David LazerNetwork Science Institute, Northeastern University, Boston, United States of America.
Christopher R MarsicanoEducational Studies Department, Davidson College, Davidson, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-5855-2949
Samuel V ScarpinoNetwork Science Institute, Northeastern University, Boston, United States of America.
Alessandro VespignaniNetwork Science Institute, Northeastern University, Boston, United States of America.ORCID https://orcid.org/0000-0003-3419-4205

Funding

RFA-IP-20-003, FluMod - Center for the Multiscale Modeling of Pandemic and seasonal Flu Prevention and ControlU01IP001137 · IP · NORTHEASTERN UNIVERSITY · PI VESPIGNANI, ALESSANDRO · 2020 to 2024
$3.4M
NCIRD CDC HHS U01 IP001137
6 · The paper itself

Abstract

With a dataset of testing and case counts from over 1,400 institutions of higher education (IHEs) in the United States, we analyze the number of infections and deaths from SARS-CoV-2 in the counties surrounding these IHEs during the Fall 2020 semester (August to December, 2020). We find that counties with IHEs that remained primarily online experienced fewer cases and deaths during the Fall 2020 semester; whereas before and after the semester, these two groups had almost identical COVID-19 incidence. Additionally, we see fewer cases and deaths in counties with IHEs that reported conducting any on-campus testing compared to those that reported none. To perform these two comparisons, we used a matching procedure designed to create well-balanced groups of counties that are aligned as much as possible along age, race, income, population, and urban/rural categories-demographic variables that have been shown to be correlated with COVID-19 outcomes. We conclude with a case study of IHEs in Massachusetts-a state with especially high detail in our dataset-which further highlights the importance of IHE-affiliated testing for the broader community. The results in this work suggest that campus testing can itself be thought of as a mitigation policy and that allocating additional resources to IHEs to support efforts to regularly test students and staff would be beneficial to mitigating the spread of COVID-19 in a pre-vaccine environment.

Identifiers

PMID36812533
PMCPMC9931316

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.