ArticlemedRxiv : the preprint server for health sciences2025
Whole Genome Sequencing to Study SARS-CoV-2 Transmission between University Students and the Surrounding Community in Pittsburgh, Pennsylvania, 2020-2021.
Vatsala Rangachar Srinivasa, Marissa P Griffith, Kathleen A Shutt, Hunter Coyle, Nathan J Raabe, Kady D Waggle, Tung Phan, Graham M Snyder, Lora Lee Pless, Daria Van Tyne and 3 more
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
13 authors.
Vatsala Rangachar SrinivasaMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-7376-8764 Marissa P GriffithMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-0677-8203 Kathleen A ShuttMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-3376-6152 Hunter CoyleMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0009-0006-0463-4168 Nathan J RaabeMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3258-9003 Kady D WaggleMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0009-0001-9237-9964 Tung PhanDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Graham M SnyderDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0001-5562-8880 Lora Lee PlessMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-0163-3689 Daria Van TyneDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0001-7284-0103 Alexander J SundermannMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-2439-6287 Elise M MartinDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lee H HarrisonMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3787-2705 Funding
Enhanced Detection System for Healthcare-Associated Transmission of InfectionR01AI127472 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2016 to 2025
$7.6MNIAID NIH HHS R01 AI127472
6 · The paper itselfAbstract
SARS-CoV-2 transmission was investigated between university students and the surrounding community using whole genome sequencing. Fourteen putative transmission clusters were identified. Proximity assessed using ZIP codes showed that clustered cases were more widely dispersed than non-clustered cases, highlighting the need for integrated surveillance, coordinated interventions, and data-driven public health policies.
Identifiers
PMID41282721
PMCPMC12633104
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