Evidence map›Paper›PMID 26404350›Full record

ArticleInternational journal of environmental research and public health2015

Fine-Scale Spatial Heterogeneity in the Distribution of Waterborne Protozoa in a Drinking Water Reservoir.

Jean-Baptiste Burnet, Leslie Ogorzaly, Christian Penny, Henry-Michel Cauchie

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jean-Baptiste BurnetDepartment of Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology, 41, rue du Brill, Belvaux L-4422, Luxembourg. jeanbaptiste.burnet@gmail.com.
Leslie OgorzalyDepartment of Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology, 41, rue du Brill, Belvaux L-4422, Luxembourg. leslie.ogorzaly@list.lu.
Christian PennyDepartment of Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology, 41, rue du Brill, Belvaux L-4422, Luxembourg. christian.penny@list.lu.
Henry-Michel CauchieDepartment of Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology, 41, rue du Brill, Belvaux L-4422, Luxembourg. henry-michel.cauchie@list.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe occurrence of faecal pathogens in drinking water resources constitutes a threat to the supply of safe drinking water, even in industrialized nations. To efficiently assess and monitor the risk posed by these pathogens, sampling deserves careful design, based on preliminary knowledge on their distribution dynamics in water. For the protozoan pathogens Cryptosporidium and Giardia, only little is known about their spatial distribution within drinking water supplies, especially at fine scale.

methodsTwo-dimensional distribution maps were generated by sampling cross-sections at meter resolution in two different zones of a drinking water reservoir. Samples were analysed for protozoan pathogens as well as for E. coli, turbidity and physico-chemical parameters.

resultsParasites displayed heterogeneous distribution patterns, as reflected by significant (oo)cyst density gradients along reservoir depth. Spatial correlations between parasites and E. coli were observed near the reservoir inlet but were absent in the downstream lacustrine zone. Measurements of surface and subsurface flow velocities suggest a role of local hydrodynamics on these spatial patterns.

conclusionThis fine-scale spatial study emphasizes the importance of sampling design (site, depth and position on the reservoir) for the acquisition of representative parasite data and for optimization of microbial risk assessment and monitoring. Such spatial information should prove useful to the modelling of pathogen transport dynamics in drinking water supplies.

Indexed as

Water QualityCryptosporidiumDrinking WaterEscherichia coliGiardiaLuxembourgRisk AssessmentWater ResourcesDrinking WaterCryptosporidiumGiardiamicrobial risk monitoringreservoirspatial distribution

Identifiers

PMID26404350
PMCPMC4586715

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.