Evidence map›Paper›PMID 37193760›Full record

ArticleScientific reports2023

Genomic surveillance identifies potential risk factors for SARS-CoV-2 transmission at a mid-sized university in a small rural town.

Kimberly R Andrews, Daniel D New, Digpal S Gour, Kane Francetich, Scott A Minnich, Barrie D Robison, Carolyn J Hovde

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kimberly R AndrewsInstitute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, 83844, USA. kimberlya@uidaho.edu.
Daniel D NewInstitute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, 83844, USA.
Digpal S GourInstitute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, 83844, USA.
Kane FrancetichGritman Medical Center, Moscow, ID, 83843, USA.
Scott A MinnichDepartment of Animal, Veterinary and Food Science, University of Idaho, Moscow, ID, 83844, USA.
Barrie D RobisonInstitute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, 83844, USA.
Carolyn J HovdeDepartment of Animal, Veterinary and Food Science, University of Idaho, Moscow, ID, 83844, USA.

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
Genomics Resources Core (GRC)P30GM103324 · NIGMS · UNIVERSITY OF IDAHO · PI SETTLES, MATTHEW · 2013 to 2017
$5.0M
NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P30 GM103324
6 · The paper itself

Abstract

Understanding transmission dynamics of SARS-CoV-2 in institutions of higher education (IHEs) is important because these settings have potential for rapid viral spread. Here, we used genomic surveillance to retrospectively investigate transmission dynamics throughout the 2020-2021 academic year for the University of Idaho ("University"), a mid-sized IHE in a small rural town. We generated genome assemblies for 1168 SARS-CoV-2 samples collected during the academic year, representing 46.8% of positive samples collected from the University population and 49.8% of positive samples collected from the surrounding community ("Community") at the local hospital during this time. Transmission dynamics differed for the University when compared to the Community, with more infection waves that lasted shorter lengths of time, potentially resulting from high-transmission congregate settings along with mitigation efforts implemented by the University to combat outbreaks. We found evidence for low transmission rates between the University and Community, with approximately 8% of transmissions into the Community originating from the University, and approximately 6% of transmissions into the University originating from the Community. Potential transmission risk factors identified for the University included congregate settings such as sorority and fraternity events and residences, holiday travel, and high caseloads in the surrounding community. Knowledge of these risk factors can help the University and other IHEs develop effective mitigation measures for SARS-CoV-2 and similar pathogens.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansRetrospective StudiesRisk Factors

Identifiers

PMID37193760
PMCPMC10185956

What OpenQuestion holds

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LicenceCC BY
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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.