Evidence map›Paper›PMID 37164095›Full record

ArticleThe Science of the total environment2023

Predictive potential of SARS-CoV-2 RNA concentration in wastewater to assess the dynamics of COVID-19 clinical outcomes and infections.

Raimundo Seguí López-Peñalver, Rubén Cañas-Cañas, Jorge Casaña-Mohedo, José Vicente Benavent-Cervera, Julio Fernández-Garrido, Raúl Juárez-Vela, Ana Pellín-Carcelén, Vicente Gea-Caballero, Vicente Andreu-Fernández

Erratum issuedAbstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  7. The potential of long-term wastewater-based surveillance to predict COVID-19 waves peak in Mexico.Water environment research : a research publication of the Water Environment Federation · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Raimundo Seguí López-PeñalverFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Global Omnium, Valencia, Spain.
Rubén Cañas-CañasGlobal Omnium, Valencia, Spain.
Jorge Casaña-MohedoFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Faculty of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, 46001, Valencia, Spain.
José Vicente Benavent-CerveraFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain.
Julio Fernández-GarridoConsellería de Sanidad Universal y Salud Pública, Generalitat Valenciana, Department of Nursing, University of Valencia, 46001 Jaume Roig St, Valencia, Spain.
Raúl Juárez-VelaFaculty of Health Sciences, La Rioja University, 26006 Logroño, Spain.
Ana Pellín-CarcelénFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain.
Vicente Gea-CaballeroFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain.
Vicente Andreu-FernándezFaculty of Health Sciences, Valencian International University (VIU), 46002, Valencia, Spain; Biosanitary Research Institute, Valencian International University (VIU), 46002, Valencia, Spain. Electronic address: vicente.andreu@campusviu.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 - caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) -, has triggered a worldwide pandemic resulting in 665 million infections and over 6.5 million deaths as of December 15, 2022. The development of different epidemiological tools have helped predict new outbreaks and assess the behavior of clinical variables in different health contexts. In this study, we aimed to monitor concentrations of SARS-CoV-2 in wastewater as a tool to predict the progression of clinical variables during Waves 3, 5, and 6 of the pandemic in the Spanish city of Xátiva from September 2020 to March 2022. We estimated SARS-CoV-2 RNA concentrations in 195 wastewater samples using the RT-PCR Diagnostic Panel validated by the Center for Disease Control and Prevention. We also compared the trends of several clinical variables (14-day cumulative incidence, positive cases, hospital cases and stays, critical cases and stays, primary care visits, and deaths) for each study wave against wastewater SARS-CoV-2 RNA concentrations using Pearson's product-moment correlations, a two-sided Mann-Whitney U test, and a cross-correlation analysis. We found strong correlations between SARS-CoV-2 concentrations with 14-day cumulative incidence and positive cases over time. Wastewater RNA concentrations showed strong correlations with these variables one and two weeks in advance. There were significant correlations with hospitalizations and critical care during Wave 3 and Wave 6; cross-correlations were stronger for hospitalization stays one week before during Wave 6. No association between vaccination percentages and wastewater viral concentrations was observed. Our findings support wastewater SARS-CoV-2 concentrations as a potential surveillance tool to anticipate infection and epidemiological data such as 14-day cumulative incidence, hospitalizations, and critical care stays. Public health authorities could use this epidemiological tool on a similar population as an aid for health care decision-making during an epidemic outbreak.

Indexed as

COVID-19HumansPandemicsRNA, ViralSARS-CoV-2WastewaterRNA, ViralWastewaterHospitalizationIncidence rateSARS-CoV-2SurveillanceVaccinationWastewater

Identifiers

PMID37164095
PMCPMC10164651

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Registered trials

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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.