Evidence map›Paper›PMID 38329110›Full record

ArticleEpidemiology and infection2024

Near-source passive sampling for monitoring viral outbreaks within a university residential setting.

Kata Farkas, Jessica L Kevill, Latifah Adwan, Alvaro Garcia-Delgado, Rande Dzay, Jasmine M S Grimsley, Kathryn Lambert-Slosarska, Matthew J Wade, Rachel C Williams, Javier Martin and 4 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

14 authors.

Kata FarkasSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.ORCID 0000-0002-7068-3228
Jessica L KevillSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Latifah AdwanSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Alvaro Garcia-DelgadoSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Rande DzaySchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Jasmine M S GrimsleyData Analytics & Surveillance Group, UK Health Security Agency, London, UK.
Kathryn Lambert-SlosarskaSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Matthew J WadeData Analytics & Surveillance Group, UK Health Security Agency, London, UK.ORCID 0000-0001-9824-7121
Rachel C WilliamsSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Javier MartinDivision of Vaccines, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK.
Mark DrakesmithCommunicable Disease Surveillance Centre, Public Health Wales, Cardiff, UK.
Jiao SongCommunicable Disease Surveillance Centre, Public Health Wales, Cardiff, UK.
Victoria McClureCommunicable Disease Surveillance Centre, Public Health Wales, Cardiff, UK.
Davey L JonesSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.

Funding

European Regional Development Fund NANatural Environment Research Council NE/S005196/1
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has proven to be a powerful tool for the population-level monitoring of pathogens, particularly severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). For assessment, several wastewater sampling regimes and methods of viral concentration have been investigated, mainly targeting SARS-CoV-2. However, the use of passive samplers in near-source environments for a range of viruses in wastewater is still under-investigated. To address this, near-source passive samples were taken at four locations targeting student hall of residence. These were chosen as an exemplar due to their high population density and perceived risk of disease transmission. Viruses investigated were SARS-CoV-2 and its variants of concern (VOCs), influenza viruses, and enteroviruses. Sampling was conducted either in the morning, where passive samplers were in place overnight (17 h) and during the day, with exposure of 7 h. We demonstrated the usefulness of near-source passive sampling for the detection of VOCs using quantitative polymerase chain reaction (qPCR) and next-generation sequencing (NGS). Furthermore, several outbreaks of influenza A and sporadic outbreaks of enteroviruses (some associated with enterovirus D68 and coxsackieviruses) were identified among the resident student population, providing evidence of the usefulness of near-source, in-sewer sampling for monitoring the health of high population density communities.

Indexed as

Enterovirus InfectionsWastewaterAntigens, ViralDisease OutbreaksHumansRNA, ViralSARS-CoV-2UniversitiesAntigens, ViralRNA, ViralWastewaterenteric virusespassive samplerpublic healthrespiratory virusesuniversity campus

Identifiers

PMID38329110
PMCPMC10894896

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.