ArticleWater research2018
A human fecal contamination score for ranking recreational sites using the HF183/BacR287 quantitative real-time PCR method.
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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Have genetic targets for faecal pollution diagnostics and source tracking revolutionized water quality analysis yet?FEMS microbiology reviews · 2023Pooled it
- Environmental surveillance for Salmonella Typhi to detect the typhoid burden in Yogyakarta, Indonesia.International journal of hygiene and environmental health · 2025Article
- Quantitative fecal pollution assessment with bacterial, viral, and molecular methods in small stream tributaries.The Science of the total environment · 2024Article
- Quantitative fecal source characterization of urban municipal storm sewer system outfall 'wet' and 'dry' weather discharges.Water research · 2024Article
- Occurrence of recreational water quality monitoring general fecal indicator bacteria and fecal source identification genetic markers in gray seal scat.The Science of the total environment · 2024Article
- A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements.Water research · 2024Article
- Fecal Impairment Framework, A New Conceptual Framework for Assessing Fecal Contamination in Recreational Waters.Environmental management · 2024Article
- Genetic fecal source identification in urban streams impacted by municipal separate storm sewer system discharges.PloS one · 2023Article
- Variable fecal source prioritization in recreational waters routinely monitored with viral and bacterial general indicators.Water research · 2021Article
- Markers Specific toInternational journal of environmental research and public health · 2020Article
- Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality.Current environmental health reports · 2020Review
- Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions.Water research · 2020Article
- Democratizing water monitoring: Implementation of a community-based qPCR monitoring program for recreational water hazards.PloS one · 2020Article
- Amperometric genosensor for culture independent bacterial count.Sensors and actuators. B, Chemical · 2019Article
- Extended persistence of general and cattle-associated fecal indicators in marine and freshwater environment.The Science of the total environment · 2019Article
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Authors and funding
8 authors.
Funding
Abstract
Human fecal pollution of recreational waters remains a public health concern worldwide. As a result, there is a growing interest in the application of human-associated fecal source identification quantitative real-time PCR (qPCR) technologies for water quality research and management. However, there are currently no standardized approaches for field implementation and interpretation of qPCR data. In this study, a standardized HF183/BacR287 qPCR method was combined with a water sampling strategy and a novel Bayesian weighted average approach to establish a human fecal contamination score (HFS) that can be used to prioritize sampling sites for remediation based on measured human waste levels. The HFS was then used to investigate 975 study design scenarios utilizing different combinations of sites with varying sampling intensities (daily to once per week) and number of qPCR replicates per sample (2-14 replicates). Findings demonstrate that site prioritization with HFS is feasible and that both sampling intensity and number of qPCR replicates influence reliability of HFS estimates. The novel data analysis strategy presented here provides a prescribed approach for the implementation and interpretation of human-associated HF183/BacR287 qPCR data with the goal of site prioritization based on human fecal pollution levels. In addition, information is provided for future users to customize study designs for optimal HFS performance.
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