Evidence map›Paper›PMID 40359077›Full record

ArticleEmerging infectious diseases2025

Detection and Tracking of SARS-CoV-2 Lineages through National Wastewater Surveillance System Pathogen Genomics.

Dorian J Feistel, Rory Welsh, Jeffrey Mercante, Miguella Mark-Carew, Jason Caravas, Arun Boddapati, Samantha Sevilla, Matthew H Seabolt, Dhwani Batra, Suchitra Chavan and 9 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Dorian J Feistel
Rory Welsh
Jeffrey Mercante
Miguella Mark-Carew
Jason Caravas
Arun Boddapati
Samantha Sevilla
Matthew H Seabolt
Dhwani Batra
Suchitra Chavan
Shatavia Morrison
Jesse Yoder
Hannah Long
Satvik Mishra
Benjamin Lorentz
Andi Dhroso
Iryna V Goraichuk
Seonghye Jeon
Daniel M Cornforth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted retrospective analysis of the emergence of the SARS-CoV-2 JN.1 variant in US wastewater during November 2023-July 2024 using Aquascope, a bioinformatics pipeline for the National Wastewater Surveillance System. This study highlights the value of open-source bioinformatics tools in tracking pathogen variants for public health monitoring.

Indexed as

COVID-19SARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringComputational BiologyGenome, ViralGenomicsHumansPhylogenyRetrospective StudiesUnited StatesWastewaterbioinformaticscomputational biologyCOVID-19public health surveillancerespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2viruseswastewater-based epidemiological monitoringwastewater surveillancezoonoses

Identifiers

PMID40359077
PMCPMC12078532

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.