Evidence map›Paper›PMID 36138059›Full record

ArticleScientific reports2022

Municipal and neighbourhood level wastewater surveillance and subtyping of an influenza virus outbreak.

Elisabeth Mercier, Patrick M D'Aoust, Ocean Thakali, Nada Hegazy, Jian-Jun Jia, Zhihao Zhang, Walaa Eid, Julio Plaza-Diaz, Md Pervez Kabir, Wanting Fang and 7 more

Abstract 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 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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10 more citing papers are in PubMed but not listed here.

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

17 authors.

Elisabeth MercierDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Patrick M D'AoustDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Ocean ThakaliDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Nada HegazyDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Jian-Jun JiaDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Zhihao ZhangDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Walaa EidChildren's Hospital of Eastern Ontario Research Institute, Ottawa, K1H 8L1, Canada.
Julio Plaza-DiazChildren's Hospital of Eastern Ontario Research Institute, Ottawa, K1H 8L1, Canada.
Md Pervez KabirDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Wanting FangDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Aaron CowanDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Sean E StephensonChildren's Hospital of Eastern Ontario Research Institute, Ottawa, K1H 8L1, Canada.
Lakshmi PisharodyDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Alex E MacKenzieChildren's Hospital of Eastern Ontario Research Institute, Ottawa, K1H 8L1, Canada.
Tyson E GraberChildren's Hospital of Eastern Ontario Research Institute, Ottawa, K1H 8L1, Canada.
Shen WanDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada.
Robert DelatollaDepartment of Civil Engineering, University of Ottawa, Ottawa, K1N 6N5, Canada. robert.delatolla@uOttawa.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrent influenza epidemics and pandemic potential are significant risks to global health. Public health authorities use clinical surveillance to locate and monitor influenza and influenza-like cases and outbreaks to mitigate hospitalizations and deaths. Currently, global integration of clinical surveillance is the only reliable method for reporting influenza types and subtypes to warn of emergent pandemic strains. The utility of wastewater surveillance (WWS) during the COVID-19 pandemic as a less resource intensive replacement or complement for clinical surveillance has been predicated on analyzing viral fragments in wastewater. We show here that influenza virus targets are stable in wastewater and partitions favorably to the solids fraction. By quantifying, typing, and subtyping the virus in municipal wastewater and primary sludge during a community outbreak, we forecasted a citywide flu outbreak with a 17-day lead time and provided population-level viral subtyping in near real-time to show the feasibility of influenza virus WWS at the municipal and neighbourhood levels in near real time using minimal resources and infrastructure.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanDisease OutbreaksHumansPandemicsSewageWastewaterWastewater-Based Epidemiological MonitoringSewageWastewater

Identifiers

PMID36138059
PMCPMC9493155

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.