Evidence map›Paper›PMID 35609196›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Simulating COVID-19 classroom transmission on a university campus.

Arvin Hekmati, Mitul Luhar, Bhaskar Krishnamachari, Maja Matarić

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Evaluating the COVID-19 Containment Protocol in Greek Universities for the Academic Year 2021-2022.International journal of environmental research and public health · 2022
    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

4 authors.

Arvin HekmatiDepartment of Computer Science, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0003-0017-9701
Mitul LuharDepartment of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0002-7970-9762
Bhaskar KrishnamachariDepartment of Computer Science, University of Southern California, Los Angeles, CA 90089.
Maja MatarićDepartment of Computer Science, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0001-8958-6666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the airborne transmission risk associated with holding in-person classes on university campuses for the original strain and a more contagious variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We adopt a model for airborne transmission risk in an enclosed room that considers room properties, mask efficiency, and initial infection probability of the occupants. Additionally, we study the effect of vaccination on the spread of the virus. The presented model has been evaluated in simulations using fall 2019 (prepandemic) and fall 2020 (hybrid instruction) course registration data of a large US university, allowing for assessing the difference in transmission risk between in-person and hybrid programs and the impact of occupancy reduction, mask-wearing, and vaccination. The simulations indicate that without vaccination, moving 90% of the classes online leads to a 17 to 18× reduction in new cases, and universal mask usage results in an ∼2.7 to 3.6× reduction in new infections through classroom interactions. Furthermore, the results indicate that for the original variant and using vaccines with efficacy greater than 90%, at least 23% (64%) of students need to be vaccinated with (without) mask usage in order to operate the university at full occupancy while preventing an increase in cases due to classroom interactions. For the more contagious variant, even with universal mask usage, at least 93% of the students need to be vaccinated to ensure the same conditions. We show that the model is able to predict trends observed in weekly infection rates for fall 2021.

Indexed as

COVID-19Models, TheoreticalPublic PolicyCOVID-19 TestingCOVID-19 VaccinesEducation, DistanceHumansMasksSARS-CoV-2StudentsUniversitiesCOVID-19 Vaccinesairborne transmissionCOVID-19vaccination

Identifiers

PMID35609196
PMCPMC9295731

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.