ArticleWater research2018
Direct potable reuse microbial risk assessment methodology: Sensitivity analysis and application to State log credit allocations.
Article in Water research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Occurrence of coliphage in raw wastewater and in ambient water: A meta-analysis.Water research · 2019Pooled it
- Article
- Comparative performance of activated sludge and waste stabilization ponds for the removal of pollutants and pathogens in full-scale wastewater treatment plants in Egypt.Scientific reports · 2026Article
- A risk-risk tradeoff approach for incorporating the public's risk perceptions into quantitative microbial risk assessment.Journal of occupational and environmental hygiene · 2025Article
- Microbial Treatment Targets for Potable and Nonpotable Water Reuse - A Comprehensive Update and Harmonization.Environmental science & technology letters · 2024Article
- Onsite Nonpotable Water Systems Pathogen Treatment Targets: A Comparison of Infection and Disability-Adjusted Life Years (DALYs) Risk Benchmark Approaches.Environmental science & technology · 2023Article
- Selective elimination of enterovirus genotypes by activated sludge and chlorination.Environmental science : water research & technology · 2023Article
- Microbial Water Quality through a Full-Scale Advanced Wastewater Treatment Demonstration Facility.ACS ES&T engineering · 2022Article
- Roadmap for Managing SARS-CoV-2 and Other Viruses in the Water Environment for Public Health.Engineering (Beijing, China) · 2022Review
- Quantitative Microbial Risk Assessment of Antimicrobial Resistant and SusceptibleEnvironmental science & technology · 2021Article
- Understanding Microbial Loads in Wastewater Treatment Works as Source Water for Water Reuse.Water · 2021Article
- Antibiotic Resistance in Recreational Waters: State of the Science.International journal of environmental research and public health · 2020Review
- The Role of Urban Wastewater in the Environmental Transmission of Antimicrobial Resistance: The Current Situation in Italy (2010-2019).Microorganisms · 2020Review
- Risk assessment of an industrial wastewater treatment and reclamation plant using the bow-tie method.Environmental monitoring and assessment · 2019Article
- Comparison of Predicted Microbiological Human Health Risks Associated with de Facto, Indirect, and Direct Potable Water Reuse.Environmental science & technology · 2019Review
- Potable Water Reuse: What Are the Microbiological Risks?Current environmental health reports · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Understanding pathogen risks is a critically important consideration in the design of water treatment, particularly for potable reuse projects. As an extension to our published microbial risk assessment methodology to estimate infection risks associated with Direct Potable Reuse (DPR) treatment train unit process combinations, herein, we (1) provide an updated compilation of pathogen density data in raw wastewater and dose-response models; (2) conduct a series of sensitivity analyses to consider potential risk implications using updated data; (3) evaluate the risks associated with log credit allocations in the United States; and (4) identify reference pathogen reductions needed to consistently meet currently applied benchmark risk levels. Sensitivity analyses illustrated changes in cumulative annual risks estimates, the significance of which depends on the pathogen group driving the risk for a given treatment train. For example, updates to norovirus (NoV) raw wastewater values and use of a NoV dose-response approach, capturing the full range of uncertainty, increased risks associated with one of the treatment trains evaluated, but not the other. Additionally, compared to traditional log-credit allocation approaches, our results indicate that the risk methodology provides more nuanced information about how consistently public health benchmarks are achieved. Our results indicate that viruses need to be reduced by 14 logs or more to consistently achieve currently applied benchmark levels of protection associated with DPR. The refined methodology, updated model inputs, and log credit allocation comparisons will be useful to regulators considering DPR projects and design engineers as they consider which unit treatment processes should be employed for particular projects.
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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.