CoChat
Sign Up
Cited by 8

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Microbial source tracking of fecal pollution to coral reef lagoons of Norfolk Island, Australia

Vanderzalm, Joanne, Currie, Sharon, Smith, Wendy, Metcalfe, Suzanne, Taylor, Nathan, Ahmed, Warish·2024·Science of The Total Environment
DOI 10.1016/j.scitotenv.2023.168906
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.scitotenv.2023.168906

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 39

  1. Ahmed, 2015, Comparison of concentration methods for quantitative detection of sewage-associated viral markers in environmental waters, Appl. Environ. Microbiol., 81, 2042, 10.1128/AEM.03851-14 · DOI
  2. Ahmed, 2016, Current status of marker genes of bacteroides and related taxa for identifying sewage pollution in environmental waters, Water, 8, 231, 10.3390/w8060231 · DOI
  3. Ahmed, 2018, Novel crAssphage marker genes ascertain sewage pollution in a recreational lake receiving urban stormwater runoff, Water Res., 145, 769, 10.1016/j.watres.2018.08.049 · DOI
  4. Ahmed, 2019, Host specificity and sensitivity of established and novel sewage-associated marker genes in human and nonhuman fecal samples, Appl. Environ. Microbiol., 85, e00641, 10.1128/AEM.00641-19 · DOI
  5. Ahmed, 2019, Comparative decay of sewage-associated marker genes in beach water and sediment in a subtropical region (vol 149, pg 511, 2019), Water Res., 159, 539, 10.1016/j.watres.2019.05.080 · DOI
  6. Ahmed, 2023, Microbial source tracking of untreated human wastewater and animal scats in urbanized estuarine waters, Sci. Total Environ., 877, 10.1016/j.scitotenv.2023.162764 · DOI
  7. Boehm, 2013, Performance of forty-one microbial source tracking methods: a twenty-seven lab evaluation study, Water Res., 47, 6812, 10.1016/j.watres.2012.12.046 · DOI
  8. Boehm, 2018, Can we swim yet? Systematic review, meta-analysis, and risk assessment of aging sewage in surface waters, Environ. Sci. Technol., 52, 9634, 10.1021/acs.est.8b01948 · DOI
  9. Boukerb, 2021, Comparative analysis of fecal microbiomes from wild waterbirds to poultry, cattle, pigs, and wastewater treatment plants for a microbial source tracking approach, Front. Microbiol., 12, 10.3389/fmicb.2021.697553 · DOI
  10. Byappanahalli, 2015, Application of a microfluidic quantitative polymerase chain reaction technique to monitor bacterial pathogens in beach water and complex environmental matrices, Environ. Sci. Technol. Lett., 2, 347, 10.1021/acs.estlett.5b00251 · DOI
  11. Crank, 2019, Quantitative microbial risk assessment of swimming in sewage impacted waters using CrAssphage and pepper mild mottle virus in a customizable model, Environ. Sci. Technol. Lett., 6, 571, 10.1021/acs.estlett.9b00468 · DOI
  12. Damashek, 2022, Non-point source fecal contamination from aging wastewater infrastructure is a primary driver of antibiotic resistance in surface waters, Water Res., 222, 10.1016/j.watres.2022.118853 · DOI
  13. Dick, 2005, Host distributions of uncultivated fecal Bacteroidales bacteria reveal genetic markers for fecal source identification, Appl. Environ. Microbiol., 71, 3184, 10.1128/AEM.71.6.3184-3191.2005 · DOI
  14. Ferguson, 2012, Comparison of fecal indicators with pathogenic bacteria and rotavirus in groundwater, Sci. Total Environ., 431, 314, 10.1016/j.scitotenv.2012.05.060 · DOI
  15. Green, 2012, Genetic markers for rapid PCR-based identification of gull, Canada goose, duck, and chicken fecal contamination in water, Appl. Environ. Microbiol., 78, 503, 10.1128/AEM.05734-11 · DOI
  16. Green, 2014, Improved HF183 quantitative real-time PCR assay for characterization of human fecal pollution in ambient surface water samples, Appl. Environ. Microbiol., 80, 3086, 10.1128/AEM.04137-13 · DOI
  17. Hamza, 2011, Evaluation of pepper mild mottle virus, human picobirnavirus and torque Teno virus as indicators of fecal contamination in river water, Water Res., 45, 1358, 10.1016/j.watres.2010.10.021 · DOI
  18. Harwood, 2005, Validity of the indicator organism paradigm for pathogen reduction in reclaimed water and public health protection, Appl. Environ. Microbiol., 71, 3163, 10.1128/AEM.71.6.3163-3170.2005 · DOI
  19. Harwood, 2014, Microbial source tracking markers for detection of fecal contamination in environmental waters: relationships between pathogens and human health outcomes, FEMS Microbiol. Rev., 38, 1, 10.1111/1574-6976.12031 · DOI
  20. Haugland, 2005, Comparison of Enterococcus measurements in freshwater at two recreational beaches by quantitative polymerase chain reaction and membrane filter culture analysis, Water Res., 39, 559, 10.1016/j.watres.2004.11.011 · DOI
  21. Heim, 2003, Rapid and quantitative detection of human adenovirus DNA by real-time PCR, J. Med. Virol., 70, 228, 10.1002/jmv.10382 · DOI
  22. Holcomb, 2020, Microbial indicators of fecal pollution: recent Progress and challenges in assessing water quality, Curr. Environ. Health Rep., 7, 311, 10.1007/s40572-020-00278-1 · DOI
  23. Hughes, 2017, Cross-comparison of human wastewater-associated molecular markers in relation to fecal indicator bacteria and enteric viruses in recreational beach waters, Appl. Environ. Microbiol., 83, e00028, 10.1128/AEM.00028-17 · DOI
  24. Korajkic, 2019, Persistence and decay of fecal microbiota in aquatic habitats, Microbiol. Mol. Biol. Rev., 83, e0005, 10.1128/MMBR.00005-19 · DOI
  25. Mieszkin, 2009, Estimation of pig fecal contamination in a river catchment by real-time PCR using two pig-specific Bacteroidales 16S rRNA genetic markers, Appl. Environ. Microbiol., 75, 3045, 10.1128/AEM.02343-08 · DOI
  26. Paruch, 2022, An overview of microbial source tracking using host-specific genetic markers to identify origins of fecal contamination in different water environments, Water, 14, 1809, 10.3390/w14111809 · DOI
  27. Reischer, 2006, Quantitative PCR method for sensitive detection of ruminant fecal pollution in freshwater and evaluation of this method in alpine karstic regions, Appl. Environ. Microbiol., 72, 5610, 10.1128/AEM.00364-06 · DOI
  28. Rochelle-Newall, 2015, A short review of fecal indicator bacteria in tropical aquatic ecosystems: knowledge gaps and future directions, Front. Microbiol., 6, 308, 10.3389/fmicb.2015.00308 · DOI
  29. Senkbeil, 2019, Use of Escherichia coli genes associated with human sewage to track fecal contamination source in subtropical waters, Sci. Total Environ., 686, 1069, 10.1016/j.scitotenv.2019.05.201 · DOI
  30. Shanks, 2008, Quantitative PCR for detection and enumeration of genetic markers of bovine fecal pollution, Appl. Environ. Microbiol., 74, 745, 10.1128/AEM.01843-07 · DOI
  31. Sidhu, 2015, Pathogen decay during managed aquifer recharge at four sites with different geochemical characteristics and recharge water sources, J. Environ. Qual., 44, 1402, 10.2134/jeq2015.03.0118 · DOI
  32. Sinigalliano, 2010, Traditional and molecular analyses for fecal indicator bacteria in non-point source subtropical recreational marine waters, Water Res., 44, 3763, 10.1016/j.watres.2010.04.026 · DOI
  33. Soller, 2010, Estimated human health risks from exposure to recreational waters impacted by human and non-human sources of faecal contamination, Water Res., 44, 4674, 10.1016/j.watres.2010.06.049 · DOI
  34. Soller, 2015, Human health risk associated with direct potable reuse - evaluation through quantitative relative risk assessment case studies, Environ. Sci. Water Res. Technol., 1, 679, 10.1039/C5EW00038F · DOI
  35. Stachler, 2017, Quantitative CrAssphage PCR assays for human fecal pollution measurement, Environ. Sci. Technol., 51, 9146, 10.1021/acs.est.7b02703 · DOI
  36. Staley, 2012, Assessment of sources of human pathogens and fecal contamination in a Florida freshwater lake, Water Res., 46, 5799, 10.1016/j.watres.2012.08.012 · DOI
  37. Stoeckel, 2007, Performance, design, and analysis in microbial source tracking studies, Appl. Environ. Microbiol., 73, 2405, 10.1128/AEM.02473-06 · DOI
  38. Threndyle, 2022, CrAssphage as an indicator of groundwater-borne pollution in coastal ecosystems, Environ. Res. Commun., 4, 10.1088/2515-7620/ac693a · DOI
  39. Verbyla, 2016, Managing microbial risks from indirect wastewater reuse for irrigation in urbanizing watersheds, Environ. Sci. Technol., 50, 6803, 10.1021/acs.est.5b05398 · DOI

Metadata

Authors
Vanderzalm, J., Currie, S., Smith, W., Metcalfe, S., Taylor, N., & Ahmed, W.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2024-02
Volume
912
Pages
168906
ISSN
0048-9697
DOI
10.1016/j.scitotenv.2023.168906
Cited by
8
References
1
Language
en
Licence
Funders
Australian Government Department of Infrastructure Transport and Regional Development

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review