Evidence map›Paper›PMID 31193990›Full record

ArticleWater research X2018

Within-day variability in microbial concentrations at a UK designated bathing water: Implications for regulatory monitoring and the application of predictive modelling based on historical compliance data.

Mark D Wyer, David Kay, Huw Morgan, Sam Naylor, Simon Clark, John Watkins, Cheryl M Davies, Carol Francis, Hamish Osborn, Sarah Bennett

Abstract read
In one paragraph

Article in Water research X, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Bathing Water Quality Monitoring Practices in Europe and the United States.International journal of environmental research and public health · 2021
    Review
  6. Review
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.

Mark D WyerDepartment of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK.
David KayDepartment of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK.
Huw MorganPlace, Housing and Public Protection Services, Pollution Control, Swansea Council, The Guildhall, Swansea, SA1 4PE, UK.
Sam NaylorPlace, Housing and Public Protection Services, Pollution Control, Swansea Council, The Guildhall, Swansea, SA1 4PE, UK.
Simon ClarkPlace, Housing and Public Protection Services, Pollution Control, Swansea Council, The Guildhall, Swansea, SA1 4PE, UK.
John WatkinsDepartment of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK.
Cheryl M DaviesDepartment of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK.
Carol FrancisDepartment of Geography and Earth Sciences, Llandinam Building, Aberystwyth University, SY23 3DB, UK.
Hamish OsbornNatural Resources Wales, Area Office, Maes Newydd, Llandarcy, SA10 6JQ, UK.
Sarah BennettNatural Resources Wales, Area Office, Maes Newydd, Llandarcy, SA10 6JQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of bathing water quality is recommended by the World Health Organization (WHO), the European Union (EU) and the United States Environmental Protection Agency (USEPA) and is an established element in bathing water management designed to protect public health. Most commonly, historical regulatory compliance data are used for model calibration and provide the dependent variable for modelling. Independent (or predictor) variables (e.g. rainfall, river flow and received irradiance) measured over some antecedent period are used to deliver prediction of the faecal indicator concentration measured on the day of the regulatory sample collection. The implied linked assumptions of this approach are, therefore, that; (i) the independent variables accurately predict the bathing-day water quality; which is (ii) accurately characterized by the single regulatory sample. Assumption (ii) will not be the case where significant within-day variability in water quality is evident. This study built a detailed record of water quality change through 60 days at a UK coastal bathing water in 2011 using half-hourly samples each subjected to triplicate filtration designed to enhance enumeration precision. On average, the mean daily variation in FIO concentrations exceeded 1 log

Indexed as

Bathing water variability faecal indicators

Identifiers

PMID31193990
PMCPMC6549935

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.