Evidence map›Paper›PMID 41847088›Full record

ArticlePeerJ2026

Nationwide wastewater sequencing surveillance of SARS-CoV-2 lineages: validation against clinical data across 28 U.S. states.

Alessandro Zulli, Bradley White, Dorothea Duong, Bridgette Shelden, Vikram Chan-Herur, Marlene Wolfe, Alexandria B Boehm

Abstract readValidation Study
In one paragraph

Article in PeerJ, 2026. 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

7 authors.

Alessandro ZulliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States of America.
Bradley WhiteVerily Life Sciences, South San Francisco, CA, United States of America.
Dorothea DuongVerily Life Sciences, South San Francisco, CA, United States of America.
Bridgette SheldenVerily Life Sciences, South San Francisco, CA, United States of America.
Vikram Chan-HerurVerily Life Sciences, South San Francisco, CA, United States of America.
Marlene WolfeGangarosa Department of Environmental Health, Emory University, Emory, GA, United States of America.
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As clinical SARS-CoV-2 surveillance programs are being reduced, wastewater-based epidemiology (WBE) has emerged as a promising alternative for monitoring viral circulation. However, large-scale validation of wastewater sequencing against clinical data across multiple lineages and geographic regions remains limited. This study aimed to evaluate the concordance between wastewater and clinical SARS-CoV-2 lineage surveillance at a national scale and assess patterns of lineage emergence and geographic spread. From September 11, 2023, to April 1, 2025, we collected 3,151 wastewater samples from 42 treatment plants across 28 U.S. states. Samples underwent tiled amplicon sequencing using ARTIC V5.3.2 primers, with lineage abundance estimated using Freyja. We compared wastewater lineage proportions to CDC clinical surveillance data using Spearman rank correlation coefficients and analyzed temporal patterns of lineage emergence and geographic distribution. Wastewater lineage abundances showed strong positive correlations with clinical data across all major Pango lineages, with Spearman coefficients ranging from 0.46 (Omicron BA) to 0.94 (Omicron XEC), all statistically significant (

Indexed as

COVID-19Wastewater-Based Epidemiological MonitoringWhole Genome SequencingGenome, ViralHigh-Throughput Nucleotide SequencingHumansRNA, ViralSARS-CoV-2United StatesWastewaterRNA, ViralWastewaterEnvironmental healthPandemic preventionPublic HealthSARS-CoV-2SequencingVariant trackingWastewater based epidemiologyWastewater surveillance

Identifiers

PMID41847088
PMCPMC12990898

What OpenQuestion holds

Textmetadata
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.