ArticleInternational journal of environmental research and public health2017
Drivers of Microbial Risk for Direct Potable Reuse and de Facto Reuse Treatment Schemes: The Impacts of Source Water Quality and Blending.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- A Bayesian Model for Estimation of Virus Reduction in Potable Reuse Treatment Trains and Quantitative Microbial Risk Assessment of Waterborne Viral Pathogens.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Microbial Treatment Targets for Potable and Nonpotable Water Reuse - A Comprehensive Update and Harmonization.Environmental science & technology letters · 2024Article
- The Minus Approach Can Redefine the Standard of Practice of Drinking Water Treatment.Environmental science & technology · 2023Review
- Understanding Microbial Loads in Wastewater Treatment Works as Source Water for Water Reuse.Water · 2021Article
- Quantitative Microbial Risk Assessment of Pediatric Infections Attributable to Ingestion of Fecally Contaminated Domestic Soils in Low-Income Urban Maputo, Mozambique.Environmental science & technology · 2021Article
- Comparison of Predicted Microbiological Human Health Risks Associated with de Facto, Indirect, and Direct Potable Water Reuse.Environmental science & technology · 2019Review
- Comparison of pathogen-derived 'total risk' with indicator-based correlations for recreational (swimming) exposure.Environmental science and pollution research international · 2019Article
- Public health risks associated with food-borne parasites.EFSA journal. European Food Safety Authority · 2018Article
- Conceptual environmental impact assessment of a novel self-sustained sanitation system incorporating a quantitative microbial risk assessment approach.The Science of the total environment · 2018Article
- Potable Water Reuse: What Are the Microbiological Risks?Current environmental health reports · 2018Review
- Quantitative Microbial Risk Assessment and Infectious Disease Transmission Modeling of Waterborne Enteric Pathogens.Current environmental health reports · 2018Review
- Evaluating the sustainability of indirect potable reuse and direct potable reuse: a southern Nevada case study.AWWA water scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although reclaimed water for potable applications has many potential benefits, it poses concerns for chemical and microbial risks to consumers. We present a quantitative microbial risk assessment (QMRA) Monte Carlo framework to compare a de facto water reuse scenario (treated wastewater-impacted surface water) with four hypothetical Direct Potable Reuse (DPR) scenarios for Norovirus,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.