Literature DB >> 19010501

Prediction of Salmonella in seawater by total and faecal coliforms and Enterococci.

Maria A Efstratiou1, Athena Mavridou, Clive Richardson.   

Abstract

The power of total coliforms (TC), faecal coliforms (FC) and Enterococci to predict the presence of Salmonella in seawater was investigated. Indicator cut-off values with the most satisfactory combination of sensitivity and specificity in predicting Salmonella presence were 1,000 CFU 100ml(-1)TC, 200 CFU 100ml(-1)FC, 500 CFU 100ml(-1) Enterococci. When TC or FC were used for Salmonella prediction in logistic regression, then the addition of another indicator did not have a statistically significant effect. When Enterococci were used for prediction, then the addition of either of the two other indicators led to a statistically significant improvement (P=0.001 for TC, P=0.003 for FC). These results suggest that using either TC or FC alone provided an adequate indicator of Salmonella presence, but a statistically significant improvement is possible over using Enterococci alone. Concerning Enterococci, European Union limits for excellent coastal water quality (100 CFU 100 ml(-1)) and United States Environmental Protection Agency criteria for marine bathing waters (35 CFU 100 ml(-1)) have the same value in predicting Salmonella absence (92.5%).

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Year:  2008        PMID: 19010501     DOI: 10.1016/j.marpolbul.2008.10.003

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water.

Authors:  Daniel L Weller; Tanzy M T Love; Martin Wiedmann
Journal:  Front Artif Intell       Date:  2021-05-14

2.  Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production.

Authors:  Daniel L Weller; Tanzy M T Love; Alexandra Belias; Martin Wiedmann
Journal:  Front Sustain Food Syst       Date:  2020-10-06

3.  Impacts of Atmospheric and Anthropogenic Factors on Microbiological Pollution of the Recreational Coastal Beaches Neighboring Shipping Ports.

Authors:  Romina Kraus; Vanja Baljak; Darija Vukić Lušić; Lado Kranjčević; Arijana Cenov; Marin Glad; Vesna Kauzlarić; Dražen Lušić; Luka Grbčić; Marta Alvir; Marijana Pećarević; Slaven Jozić
Journal:  Int J Environ Res Public Health       Date:  2022-07-13       Impact factor: 4.614

  3 in total

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