Evidence map›Paper›PMID 38153929›Full record

ArticlePLoS pathogens2023

Continued selection on cryptic SARS-CoV-2 observed in Missouri wastewater.

Devon A Gregory, Clayton Rushford, Torin Hunter, Chung-Ho Lin, Christie Darby, Nicole Niehues, Elizabeth Semkiw, Melissa Reynolds, Jeff Wenzel, Marc C Johnson

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 2 institutions in 1 country.

Devon A GregoryDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Clayton RushfordDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Torin HunterDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.
Chung-Ho LinCenter of Agroforestry, School of Natural Resources, University of Missouri, Columbia, Missouri, United States of America.
Christie DarbyBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, Missouri, United States of America.
Nicole NiehuesBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, Missouri, United States of America.
Elizabeth SemkiwBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, Missouri, United States of America.
Melissa ReynoldsBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, Missouri, United States of America.
Jeff WenzelBureau of Environmental Epidemiology, Division of Community and Public Health, Missouri Department of Health and Senior Services, Jefferson City, Missouri, United States of America.
Marc C JohnsonDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, Missouri, United States of America.ORCID 0000-0002-6431-7133
Missouri Department of Health and Senior Services · USUniversity of Missouri · US

Funding

Wastewater Detection of COVID-19U01DA053893 · NIDA · MISSOURI STATE DEPT/ HEALTH & SENIOR SRV · PI WENZEL, JEFF · 2021 to 2022
$4.0M
NIDA NIH HHS U01 DA053893
6 · The paper itself

Abstract

Deep sequencing of wastewater to detect SARS-CoV-2 has been used during the COVID-19 pandemic to monitor viral variants as they appear and circulate in communities. SARS-CoV-2 lineages of an unknown source that have not been detected in clinical samples, referred to as cryptic lineages, are sometimes repeatedly detected from specific locations. We have continued to detect one such lineage previously seen in a Missouri site. This cryptic lineage has continued to evolve, indicating continued selective pressure similar to that observed in Omicron lineages.

Indexed as

COVID-19SARS-CoV-2HumansMissouriPandemicsWastewaterWastewater

Identifiers

PMID38153929
PMCPMC10781090
OpenAlexW4390332165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.