Evidence map›Paper›PMID 40420392›Full record

ArticleEnvironmental science & technology2025

Comparative Assessment of Wastewater-Based Surveillance Normalization Methods to Improve Pathogen Monitoring in Rural Sewersheds.

Amanda Darling, Benjamin C Davis, Thomas Byrne, Madeline Deck, Gabriel E Maldonado Rivera, Sarah Price, Amber Amaral-Torres, Clayton Markham, Raul A Gonzalez, Peter J Vikesland and 3 more

Abstract readComparative Study
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

13 authors.

Amanda DarlingDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.
Benjamin C DavisDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.
Thomas ByrneGenetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0009-0004-4232-9784
Madeline DeckDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0009-0006-3496-2509
Gabriel E Maldonado RiveraDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.
Sarah PriceDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Amber Amaral-TorresDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.
Clayton MarkhamDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.
Raul A GonzalezHampton Roads Sanitation District, Virginia Beach, Virginia 23455, United States.ORCID 0000-0002-8115-7709
Peter J VikeslandDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-2654-5132
Leigh-Anne H KrometisDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Amy PrudenDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-3191-6244
Alasdair CohenDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-9917-8647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many in-sewer dynamics that can impact the fidelity of wastewater-based surveillance results remain understudied. Some conventional approaches for normalizing pathogen signals in sewersheds may not be appropriate when there is substantial inflow and infiltration (I&I). Our objective for this study was to evaluate the effect of multiple normalization approaches on wastewater pathogen signals at the WWTP influent and across a small rural sewershed (<3000 people) with different levels of I&I. We collected wastewater samples monthly, from 2022 to 2023, from the wastewater treatment plant (WWTP) influent and 11 additional sewer system nodes with well-characterized I&I impacts. We quantified concentrations of SARS-CoV-2, norovirus GII, and rotavirus at the WWTP influent and subsewershed sites, and compared normalization approaches using flow, population, physicochemical parameters (COD, TSS, NH

Indexed as

Environmental MonitoringSewageWastewaterCOVID-19FecesHumansNorovirusRotavirusRural PopulationSARS-CoV-2SewageWastewaterinflow and infiltrationnormalizationpublic healthrural healthwastewater-based surveillance

Identifiers

PMID40420392
PMCPMC12164260

What OpenQuestion holds

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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.