Evidence map›Paper›PMID 39109868›Full record

ArticleMicrobiology spectrum2024

Application of a microbial and pathogen source tracking toolbox to identify infrastructure problems in stormwater drainage networks: a case study.

Liam R Carson, Clint Goodman, Bert van Duin, Norman F Neumann

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Liam R CarsonSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.ORCID 0009-0007-5159-2172
Clint GoodmanCommunity Infrastructure, City of Airdrie, Airdrie, Alberta, Canada.
Bert van DuinCity & Regional Planning, City of Calgary, Calgary, Alberta, Canada.
Norman F NeumannSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0003-2708-4964

Funding

Alberta Innovates (AI) AI-EES2333Canadian Government | Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC CRDPJ 520869-17City of Calgary (Calgary) CC CRD 520869
6 · The paper itself

Abstract

Water scarcity and increasing urbanization are forcing municipalities to consider alternative water sources, such as stormwater, to fill in water supply gaps or address hydromodification of receiving urban streams. Mounting evidence suggests that stormwater is often contaminated with human feces, even in stormwater drainage systems separate from sanitary sewers. Pinpointing sources of human contamination in drainage networks is challenging given the diverse sources of fecal pollution that can impact these systems and the non-specificity of traditional fecal indicator bacteria (FIB) for identifying these host sources. As such, we used a toolbox approach that encompassed microbial source tracking (MST), FIB monitoring, and bacterial pathogen monitoring to investigate microbial contamination of stormwater in an urban municipality. We demonstrate that human sewage frequently contaminated stormwater (in >50% of routine samples), based on the presence of the human fecal marker HF183, and often exceeded microbial water quality criteria.

Indexed as

Environmental MonitoringFecesSewageWater MicrobiologyBacteriaDrainage, SanitaryHumansRainWater PollutionWater QualityWater SupplySewageArcobacterenteric pathogensfecal indicatorsmicrobial source trackingstormwaterwater pollutionwater quality

Identifiers

PMID39109868
PMCPMC11371268

What OpenQuestion holds

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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.