Evidence map›Paper›PMID 41156728›Full record

ArticleMicroorganisms2025

Long-Term Sewage Survey of SARS-CoV-2, Influenza A and Respiratory Syncytial Virus (RSV), and Correlation to Human Cases in a City with One Million Inhabitants.

Nathalie Wurtz, Lea Maggiore, Céline Boschi, Alexandre Annessi, Franck Berges, Alexandre Lacoste, Herve Chaudet, Philippe Colson, Bernard La Scola, Sarah Aherfi

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Nathalie WurtzMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.
Lea MaggioreBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Céline BoschiMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.
Alexandre AnnessiBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Franck BergesBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Alexandre LacosteBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Herve ChaudetMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.
Philippe ColsonMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.ORCID 0000-0001-6285-0308
Bernard La ScolaMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.ORCID 0000-0001-8006-7704
Sarah AherfiMicrobes, Evolution, Phylogeny and Infections (MEPHI), Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille (AP-HM), IHU Méditerranée Infection, 13005 Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology is a robust, scalable, cost-effective, and high-performing tool to monitor and predict SARS-CoV-2 trends. We aimed to investigate whether this approach could be applied to influenza A/B viruses and respiratory syncytial virus (RSV) in Marseille, southern France. Wastewater concentrations of SARS-CoV-2, influenza A/B viruses, and RSV in Marseille were monitored by qPCR between January 2021 and October 2024. These concentrations were compared with the diagnosis numbers for the three viruses collected at public hospitals in Marseille, using cross-correlation analyses. The Granger causality test was used to determine whether wastewater concentrations can predict the number of clinical cases. SARS-CoV-2 and influenza virus concentrations in wastewater preceded the rise in the incidence of patient diagnoses by a lag of five days and nine/ten days, respectively. In contrast, for RSV, the rise in incidence of clinical cases preceded that of wastewater concentrations. We conclude that wastewater-based epidemiology is a powerful tool to monitor the level of circulation of these viruses independently of tests carried out on people. It enables earlier alerts than monitoring patients for SARS-CoV-2 and influenza symptoms. However, for RSV, it does not provide an early warning, and clinical data-based surveillance appears to be more suitable.

Indexed as

influenza virusrespiratory syncytial virusSARS-CoV-2viral loadswastewaterwastewater-based epidemiology

Identifiers

PMID41156728
PMCPMC12565952

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.