2013
DOI: 10.1016/j.watres.2012.10.006
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Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams

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Cited by 26 publications
(21 citation statements)
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“…The ability of the indicator data string to predict the presence or absence of a pathogen is expressed as the percentage of samples correctly classified into ''pathogen present'' and ''pathogen absent'' categories (Harwood et al, 2005). An additional measure of accuracy for the Type I relationship was the percentage of cases when the indicator was absent and the pathogen present (Duris et al, 2013).…”
Section: The Datasetmentioning
confidence: 99%
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“…The ability of the indicator data string to predict the presence or absence of a pathogen is expressed as the percentage of samples correctly classified into ''pathogen present'' and ''pathogen absent'' categories (Harwood et al, 2005). An additional measure of accuracy for the Type I relationship was the percentage of cases when the indicator was absent and the pathogen present (Duris et al, 2013).…”
Section: The Datasetmentioning
confidence: 99%
“…A linear combination of indicator concentrations that would give the best separation of samples into groups with and without a pathogen was also sought. The water quality criteria value for E. coli was tested as a threshold to estimate pathogen prevalence in samples above and below it (Duris et al, 2013).…”
Section: The Datasetmentioning
confidence: 99%
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