Evidence map›Paper›PMID 32969642›Full record

ArticleEnvironmental science & technology2020

Contamination Scenario Matters when Using Viral and Bacterial Human-Associated Genetic Markers as Indicators of a Health Risk in Untreated Sewage-Impacted Recreational Waters.

Mary E Schoen, Alexandria B Boehm, Jeffrey Soller, Orin C Shanks

Abstract read
In one paragraph

Article in Environmental science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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.

Mary E SchoenSoller Environmental, LLC, 3022 King St., Berkeley, California 94703, United States.ORCID 0000-0002-2837-3517
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States.ORCID 0000-0002-8162-5090
Jeffrey SollerSoller Environmental, LLC, 3022 King St., Berkeley, California 94703, United States.ORCID 0000-0003-3069-2653
Orin C ShanksU.S. Environmental Protection Agency, Office of Research and Development, Martin Luther King Drive, Cincinnati, Ohio 45268, United States.ORCID 0000-0003-3203-0645

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Fecal pollution at beaches can pose a health risk to recreators. Quantitative microbial risk assessment (QMRA) is a tool to evaluate the use of candidate fecal indicators to signify a health risk from enteric pathogens in sewage-impacted waters. We extend the QMRA approach to model mixtures of sewage at different ages using genetic marker concentrations for human-associated crAssphage,

Indexed as

Environmental MonitoringSewageBacteriaFecesGenetic MarkersHumansWastewaterWater MicrobiologyWater PollutionGenetic MarkersSewageWastewater

Identifiers

PMID32969642
PMCPMC8215692

What OpenQuestion holds

Textmetadata
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.