Evidence map›Paper›PMID 40520145›Full record

ArticleEnvironmental science & technology letters2025

Retrospective Wastewater Tracking of Measles Outbreak in Western Switzerland in Winter 2024.

Charles Gan, Melissa Pitton, Jolinda de Korne-Elenbaas, Ludovico Cobuccio, Alessandro Cassini, Christoph Ort, Timothy R Julian

Abstract read
In one paragraph

Article in Environmental science & technology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

7 authors.

Charles GanEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.ORCID https://orcid.org/0000-0001-6554-0954
Melissa PittonEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.ORCID https://orcid.org/0009-0008-5381-3132
Jolinda de Korne-ElenbaasEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.ORCID https://orcid.org/0000-0003-2787-6355
Ludovico CobuccioCantonal Doctor Office, Public Health Department, Lausanne 1014, Switzerland.
Alessandro CassiniCantonal Office of Health, Geneva 1207, Switzerland.
Christoph OrtEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.ORCID https://orcid.org/0000-0001-9950-2286
Timothy R JulianEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland.ORCID https://orcid.org/0000-0003-1000-0306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measles outbreaks remain a significant public health challenge, despite high vaccination coverage in many regions. Wastewater-based surveillance (WBS) offers a noninvasive and community-level approach to monitoring the circulation of pathogens, including the measles virus. Here, we retrospectively applied a duplex digital PCR assay to distinguish between wild-type and vaccine strains of the measles virus in wastewater samples available from an existing national WBS program. Samples originated from the wastewater treatment plant serving the Lausanne city catchment area, where an outbreak occurred before spreading to the broader Canton Vaud region. Despite high vaccination rates, viral loads of the measles wild type were detected during the first transmission event involving 21 cases identified within a week. However, viral loads were no longer detectable after the initial 21 cases, despite an additional 30 cases reported in the following 3 weeks, possibly due to lower incidence rate or location outside the catchment. Measles vaccine strain was not detected during the outbreak. Our results demonstrate the complementarity of WBS with clinical surveillance and suggest its potential as an early warning system for measles and other vaccine-preventable diseases. Further improvements in the assay sensitivity and integration with epidemiological data could enhance the utility of WBS for outbreak detection and control.

Indexed as

Digital PCRMeaslesOutbreak detectionStrain differentiationWastewater surveillance

Identifiers

PMID40520145
PMCPMC12160055

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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.