Evidence map›Paper›PMID 34826066›Full record

ReviewCurrent HIV/AIDS reports2022

Adventures in COVID-19 Policy Modeling: Education Edition.

Gregg S Gonsalves, Joshua A Salomon, Thomas Thornhill, A David Paltiel

Open access · bronzeAbstract readReview
In one paragraph

Review in Current HIV/AIDS reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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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 at 2 institutions in 1 country.

Gregg S GonsalvesDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT, 06520, USA. gregg.gonsalves@yale.edu.
Joshua A SalomonDepartment of Health Policy, Stanford University School of Medicine, 615 Crothers Way, CA, 94305, Stanford, USA.
Thomas ThornhillDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT, 06520, USA.
A David PaltielPublic Health Modeling Unit, Yale School of Public Health, 350 George Street, New Haven, CT, 06511, USA.
Yale University · USStanford University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Novel, Adaptive Approaches to Predicting and Responding to Outbreaks of Overdose, HIV and HCV Among People Who Use DrugsDP2DA049282 · NIDA · YALE UNIVERSITY · PI GONSALVES, GREGG STEVEN · 2019 to 2019
$2.5M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS DP2 DA049282
6 · The paper itself

Abstract

purpose of reviewTo introduce readers to policy modeling, a multidisciplinary field of quantitative analysis, primarily used to help guide decision-making. This review focuses on the choices facing educational administrators, from K-12 to universities in the USA, as they confronted the COVID-19 pandemic. We survey three key model-based approaches to mitigation of SARS-CoV-2 spread in schools and on university campuses. RECENT

findingsFrequent testing, coupled with strict attention to behavioral interventions to prevent further transmission can avoid large outbreaks on college campuses. K-12 administrators can greatly reduce the risks of severe outbreaks of COVID-19 in schools through various mitigation measures including classroom infection control, scheduling and cohorting strategies, staff and teacher vaccination, and asymptomatic screening. Safer re-opening of college and university campuses as well as in-person instruction for K-12 students is possible, under many though not all epidemic scenarios if rigorous disease control and screening programs are in place.

Indexed as

COVID-19HIV InfectionsHumansPandemicsPolicySARS-CoV-2COVID-19Policy modelingSARS-CoV-2 screeningSchoolsUniversities

Identifiers

PMID34826066
PMCPMC8617548
OpenAlexW3215206377

What OpenQuestion holds

Textmetadata
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.