Evidence map›Paper›PMID 37000821›Full record

ArticleMicrobial genomics2023

Genomic surveillance identifies SARS-CoV-2 transmission patterns in local university populations, Wisconsin, USA, 2020-2022.

Arunachalam Ramaiah, Manjeet Khubbar, Amy Bauer, Samantha Scott, Jennifer Lentz, Katherine Akinyemi, Addie Skillman, Joshua Weiner, Nandhakumar Balakrishnan, Sanjib Bhattacharyya

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Arunachalam RamaiahCity of Milwaukee Health Department, Milwaukee, WI, USA.
Manjeet KhubbarCity of Milwaukee Health Department, Milwaukee, WI, USA.
Amy BauerCity of Milwaukee Health Department, Milwaukee, WI, USA.
Samantha ScottCity of Milwaukee Health Department, Milwaukee, WI, USA.
Jennifer LentzCity of Milwaukee Health Department, Milwaukee, WI, USA.
Katherine AkinyemiCity of Milwaukee Health Department, Milwaukee, WI, USA.
Addie SkillmanCity of Milwaukee Health Department, Milwaukee, WI, USA.
Joshua WeinerCity of Milwaukee Health Department, Milwaukee, WI, USA.
Nandhakumar BalakrishnanCity of Milwaukee Health Department, Milwaukee, WI, USA.
Sanjib BhattacharyyaCity of Milwaukee Health Department, Milwaukee, WI, USA.
Milwaukee Health Department · USGeorgia Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to emerge as the coronavirus disease 2019 (COVID-19) pandemic extends into its fourth year. Understanding SARS-CoV-2 circulation in university populations is vital for effective interventions in higher education settings and will inform public health policy during pandemics. In this study, we performed whole-genome sequencing of 537 of 1717 SARS-CoV-2-positive nasopharyngeal/nasal swab samples collected over a nearly 20-month period from two university populations in Wisconsin, USA. We observed that the viral sequences were distributed into 57 lineages/sub-lineages belonging to 15 clades, of which the majority were from 21K (omicron, 36.13 %) and 21J (delta, 30.91 %). Nearly 40 % (213) of the sequences were omicron, of which BA.1 and its eight descendent lineages accounted for 91 %, while the remaining belonged to BA.2 and its six descendent lineages. Independent analysis of the sequences from these two universities revealed significant differences in the circulating SARS-CoV-2 variants. Phylogenetic analysis of university sequences with a global sub-dataset demonstrated that the sequences of the same lineages from the university populations were more closely related. Genome-based analysis of closely related strains, along with phylogenetic clusters and mutational differences, identified that potential virus transmission occurred within and between universities, as well as between the university and the local community. Although this study improves our understanding of the distinct transmission patterns of circulating variants in local universities, expanding genomic surveillance capacity will aid local jurisdictions not only in identifying emerging SARS-CoV-2 variants, but also in improving data-driven public health mitigation and policy efforts.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansPhylogenyUniversitiesWisconsinCOVID-19emerging variantsgenomic surveillanceomicronSARS-CoV-2university populations

Identifiers

PMID37000821
PMCPMC10132055
OpenAlexW4362472980

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.