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Cited by 268

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality

Open access
Holcomb, David A., Stewart, Jill R.·2020·Current Environmental Health Reports

Abstract

Purpose of Review: Fecal contamination of water is a major public health concern. This review summarizes recent developments and advancements in water quality indicators of fecal contamination. Recent Findings: This review highlights a number of trends. First, fecal indicators continue to be a valuable tool to assess water quality and have expanded to include indicators able to detect sources of fecal contamination in water. Second, molecular methods, particularly PCR-based methods, have advanced considerably in their selected targets and rigor, but have added complexity that may prohibit adoption for routine monitoring activities at this time. Third, risk modeling is beginning to better connect indicators and human health risks, with the accuracy of assessments currently tied to the timing and conditions where risk is measured. Summary: Research has advanced although challenges remain for the effective use of both traditional and alternative fecal indicators for risk characterization, source attribution and apportionment, and impact evaluation.

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Metadata

Authors
Holcomb, D. A., & Stewart, J. R.
Venue
Current Environmental Health Reports
Published
2020-06-15
Volume
7
Issue
3
Pages
311-324
ISSN
2196-5412 (ISSN-L)
OpenAlex
W3035021398
Cited by
268
References
155
FWCI
5.49
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality. https://app.cochat.ai/papers/10.1007/s40572-020-00278-1
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Holcomb, D. A., & Stewart, J. R. (2020). Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality. Current Environmental Health Reports. https://doi.org/10.1007/s40572-020-00278-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.