Evidence map›Paper›PMID 36064874›Full record

ArticleScientific reports2022

Assessing wastewater-based epidemiology for the prediction of SARS-CoV-2 incidence in Catalonia.

Bernat Joseph-Duran, Albert Serra-Compte, Miquel Sàrrias, Susana Gonzalez, Daniel López, Clara Prats, Martí Català, Enric Alvarez-Lacalle, Sergio Alonso, Marina Arnaldos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Bernat Joseph-DuranCETAQUA Water Technology Center, Cornellà de Llobregat, Catalonia, Spain. bjoseph@cetaqua.com.ORCID 0000-0003-4862-0172
Albert Serra-CompteCETAQUA Water Technology Center, Cornellà de Llobregat, Catalonia, Spain.
Miquel SàrriasCETAQUA Water Technology Center, Cornellà de Llobregat, Catalonia, Spain.
Susana GonzalezCETAQUA Water Technology Center, Cornellà de Llobregat, Catalonia, Spain.
Daniel LópezDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Catalonia, Spain.
Clara PratsDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Catalonia, Spain.
Martí CatalàNuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
Enric Alvarez-LacalleDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Catalonia, Spain.
Sergio AlonsoDepartment of Physics, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Barcelona, Catalonia, Spain.ORCID 0000-0002-3989-8757
Marina ArnaldosCETAQUA Water Technology Center, Cornellà de Llobregat, Catalonia, Spain.
Cornell University · USUniversitat Politècnica de Catalunya · ESNuffield Orthopaedic Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While wastewater-based epidemiology has proven a useful tool for epidemiological surveillance during the COVID-19 pandemic, few quantitative models comparing virus concentrations in wastewater samples and cumulative incidence have been established. In this work, a simple mathematical model relating virus concentration and cumulative incidence for full contagion waves was developed. The model was then used for short-term forecasting and compared to a local linear model. Both scenarios were tested using a dataset composed of samples from 32 wastewater treatment plants and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence data covering the corresponding geographical areas during a 7-month period, including two contagion waves. A population-averaged dataset was also developed to model and predict the incidence over the full geography. Overall, the mathematical model based on wastewater data showed a good correlation with cumulative cases and allowed us to anticipate SARS-CoV-2 incidence in one week, which is of special relevance in situations where the epidemiological monitoring system cannot be fully implemented.

Indexed as

COVID-19SARS-CoV-2HumansIncidencePandemicsRNA, ViralSpainWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewater

Identifiers

PMID36064874
PMCPMC9443647
OpenAlexW4294663661

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.