Evidence map›Paper›PMID 38403890›Full record

ArticleEpidemiology and infection2024

Environmental predictors of

Binyam N Desta, Jordan Tustin, J Johanna Sanchez, Cole Heasley, Michael Schwandt, Farida Bishay, Bobby Chan, Andjela Knezevic-Stevanovic, Randall Ash, David Jantzen and 1 more

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Submarine outfall relocation and the reduction of microbiological risk in bathing waters.Environmental science and pollution research international · 2026
    Article
  2. Article
  3. 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

11 authors at 3 institutions in 1 country.

Binyam N DestaSchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada.ORCID 0000-0002-1814-7487
Jordan TustinSchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada.
J Johanna SanchezSchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada.
Cole HeasleySchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada.
Michael SchwandtVancouver Coastal Health, Vancouver, BC, Canada.
Farida BishayMetro Vancouver, Vancouver, BC, Canada.
Bobby ChanMetro Vancouver, Vancouver, BC, Canada.
Andjela Knezevic-StevanovicMetro Vancouver, Vancouver, BC, Canada.
Randall AshVancouver Coastal Health, Vancouver, BC, Canada.
David JantzenVancouver Coastal Health, Vancouver, BC, Canada.
Ian YoungSchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada.ORCID 0000-0002-5575-5174
Toronto Metropolitan University · CAVancouver Coastal Health · CAVictoria Park · CA

Funding

Public Health Agency of Canada 2021- HQ-000017
6 · The paper itself

Abstract

Understanding historical environmental determinants associated with the risk of elevated marine water contamination could enhance monitoring marine beaches in a Canadian setting, which can also inform predictive marine water quality models and ongoing climate change preparedness efforts. This study aimed to assess the combination of environmental factors that best predicts

Indexed as

Bathing BeachesEscherichia coliBayes TheoremBritish ColumbiaEnvironmental MonitoringFecesWater MicrobiologyWater QualityBayesianenvironmental factorsEscherichia coli (E. coli)marine waterVancouver

Identifiers

PMID38403890
PMCPMC10945941
OpenAlexW4392165639

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.