2018
DOI: 10.1016/j.scitotenv.2017.10.267
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Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States

Abstract: Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water. One group of possible contaminants are enteric viruses. Measurement of viral quantities in environmental water systems are often performed using polymerase chain reaction (PCR) or quantitative PCR (qPCR). However, true values may be underestimated due to challenges involved in a multi-step viral concentration process and due to PCR inhibition. In this study, water samples were concentra… Show more

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Cited by 19 publications
(5 citation statements)
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“…These results are promising, since virus concentrations are typically low in the contaminated water, but there is a scarcity of accurate concentration data in the published reports. Indeed, there is a wide research area focused on virus detection. In turn, due to this low concentration in water, a high efficiency of virus removal could be achieved with a moderate supplementation of c-CLPs.…”
Section: Resultsmentioning
confidence: 99%
“…These results are promising, since virus concentrations are typically low in the contaminated water, but there is a scarcity of accurate concentration data in the published reports. Indeed, there is a wide research area focused on virus detection. In turn, due to this low concentration in water, a high efficiency of virus removal could be achieved with a moderate supplementation of c-CLPs.…”
Section: Resultsmentioning
confidence: 99%
“…Two levels of analysis were specified to describe uncertainties related to the random error in sample collection and the analytical recovery due to losses during sample processing. Purified virus nucleic acids in each PCR were assumed to be Poisson-distributed with a mean ( Varughese et al., 2018 ). This model assumes that virus nucleic acids are fully disaggregated and randomly distributed in the water (i.e., homogeneous concentration) within the time and space from which the sample was collected.…”
Section: Methodsmentioning
confidence: 99%
“…A drinking water treatment plant survey conducted in the United States used Bayesian statistics combined with RT‐qPCR to estimate enterovirus, adenovirus, norovirus (NoV G1 and NoV GII), and polyomavirus concentrations in source and treated water samples. This fully probabilistic approach accounted for PCR inhibition and method recovery and demonstrated treated water contained decisively less virus than source water (Varughese et al., 2018 ).…”
Section: What Else Is Out There? Current and Next Generation Toolsmentioning
confidence: 99%