Evidence map›Paper›PMID 39212284›Full record

ArticleJournal of water and health2024

Verifying the feasibility of wastewater-based epidemiological monitoring for the small catchment and sewage networks with significant pretreatment.

Daniele Sartirano, Fabio Morecchiato, Alberto Antonelli, Tommaso Lotti, Damasco Morelli, Matteo Ramazzotti, Gian Maria Rossolini, Claudio Lubello

Abstract read
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In one paragraph

Article in Journal of water and health, 2024. 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
–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

2 citing papers in PubMed.

  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

8 authors.

Daniele SartiranoDepartment of Civil and Environmental Engineering, University of Florence, Florence, Italy E-mail: daniele.sartirano@unifi.it.ORCID https://orcid.org/0009-0000-7683-9791
Fabio MorecchiatoDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Alberto AntonelliDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Microbiology and Virology Unit, Careggi University Hospital, University of Florence, Florence, Italy.
Tommaso LottiDepartment of Civil and Environmental Engineering, University of Florence, Florence, Italy.
Damasco MorelliIngegnerie Toscane Srl., Florence, Italy.
Matteo RamazzottiDepartment of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy.
Gian Maria RossoliniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Microbiology and Virology Unit, Careggi University Hospital, University of Florence, Florence, Italy.
Claudio LubelloDepartment of Civil and Environmental Engineering, University of Florence, Florence, Italy.

Funding

European Union ECS00000017
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has emerged as a valuable tool for COVID-19 monitoring, especially as the frequency of clinical testing diminishes. Beyond COronaVIrus Disease 19 (COVID-19), the tool's versatility extends to addressing various public health concerns, including antibiotic resistance and drug consumption. However, the complexity of sewage systems introduces noise when measuring chemical tracer concentrations, potentially compromising their applicability for modeling. In our study, we detail the approach adopted to determine the concentration of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) ribonucleiec acid (RNA) in wastewater from the Ponte a Niccheri wastewater treatment plant in Tuscany (Italy), with a sample size of

Indexed as

COVID-19SARS-CoV-2SewageWastewaterWastewater-Based Epidemiological MonitoringFeasibility StudiesHumansItalyPandemicsRNA, ViralWaste Disposal, FluidRNA, ViralSewageWastewaterCOVID-19hospitallinear modelseptic tankswastewater

Identifiers

PMID39212284

What OpenQuestion holds

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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.