Evidence map›Paper›PMID 40018894›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2025

Epidemiological monitoring of sewage sludge and wastewater from an upflow anaerobic sludge blanket reactor using SARS-CoV-2 as a model.

João Pedro Stepan Wagner, Maria Fernanda Rech, Bruno Aschidamini Prandi, Ana Cláudia Franco, Caroline Rigotto, Fabiana Horn

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

João Pedro Stepan WagnerDepartamento de Biofísica, Universidade Federal do Rio Grande do Sul, Porto Alegre 90650-001, Brasil.ORCID https://orcid.org/0009-0002-7187-2036
Maria Fernanda RechDepartamento de Biofísica, Universidade Federal do Rio Grande do Sul, Porto Alegre 90650-001, Brasil.
Bruno Aschidamini PrandiDepartamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brasil.
Ana Cláudia FrancoDepartamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brasil.
Caroline RigottoDepartamento de Virologia, Instituto de Ciências da Saúde, Laboratório de Microbiologia Molecular Universidade Feevale, Novo Hamburgo 93525-075, Brasil E-mail: rigotto@feevale.br.ORCID https://orcid.org/0000-0003-4947-500X
Fabiana HornDepartamento de Biofísica, Universidade Federal do Rio Grande do Sul, Porto Alegre 90650-001, Brasil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFAPERGS/MS/CNPq 08/2020 - PPSUS
6 · The paper itself

Abstract

This study explores the potential of sludge-based monitoring from an upflow anaerobic sludge blanket reactor for epidemiological surveillance, using SARS-CoV-2 as a model. We monitored SARS-CoV-2 copy numbers and mutations, and compared concentrations in sludge to concentrations in wastewater samples taken on the same days. From January to August 2021, 32 sludge samples were analyzed; 30 (93%) were positive for SARS-CoV-2, and copy numbers varied from 0.147 to 2.314 copies ×10

Indexed as

BioreactorsCOVID-19SARS-CoV-2SewageWastewaterAnaerobiosisEpidemiological MonitoringHumansMutationWaste Disposal, FluidSewageWastewateranaerobic sludge samplesCOVID-19SARS-CoV-2 variantssludge-based epidemiologywastewater-based epidemiology

Identifiers

PMID40018894

What OpenQuestion holds

Textmetadata
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.