Evidence map›Paper›PMID 42667185›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

A Bayesian Model for Estimation of Virus Reduction in Potable Reuse Treatment Trains and Quantitative Microbial Risk Assessment of Waterborne Viral Pathogens.

Jack F Schijven, Peter F M Teunis, Walter Q Betancourt

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. 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

3 authors.

Jack F SchijvenEnvironmental Hydrogeology Group, Geosciences, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-9327-1584
Peter F M TeunisCenter for Global Safe WASH, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-1904-6044
Walter Q BetancourtDepartment of Environmental Science, College of Agriculture Life and Environmental Sciences, University of Arizona, Tucson, Arizona, USA.ORCID https://orcid.org/0000-0003-0488-4483

Funding

Water Research Foundation 4955
6 · The paper itself

Abstract

Understanding virus occurrence and reduction at advanced treatment facilities for potable water reuse constitutes a high-priority research need to protect human health and to enhance available water supply alternatives. The objectives were to (1) determine log reduction values (LRVs) of 15 viruses by advanced wastewater treatment; (2) evaluate suitability of the final wastewater effluent for potable reuse; (3) evaluate viruses or groups of viruses as indicators of wastewater treatment efficiency. Reduction data of seven human enteric and eight surrogate viruses were obtained from three potable reuse facilities. LRVs were estimated using a Bayesian model that can handle nondetects and identifies groups of viruses with similar LRVs. Quantitative microbial risk assessments were conducted for adenoviruses, enteroviruses, and noroviruses GI and GII. Mean total LRVs ranged from 5.4 to 11 log

Indexed as

Drinking WaterVirusesWater MicrobiologyWater PurificationAdenoviridaeBayes TheoremHumansRisk AssessmentWastewaterWater SupplyDrinking WaterWastewateradvanced treatmentlog reduction modelpotable reuseQMRAviruses

Identifiers

PMID42667185
PMCPMC13525718

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.