About: Human and bovine viruses in the Milwaukee River watershed: Hydrologically relevant representation and relations with environmental variables

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About: Human and bovine viruses in the Milwaukee River watershed: Hydrologically relevant representation and relations with environmental variables Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Human and bovine viruses in the Milwaukee River watershed: Hydrologically relevant representation and relations with environmental variables
Creator	Baldwin, A Borchardt, M Corsi, S Hughes, P Spencer, S
source	Elsevier; Medline; PMC
abstract	Abstract To examine the occurrence, hydrologic variability, and seasonal variability of human and bovine viruses in surface water, three stream locations were monitored in the Milwaukee River watershed in Wisconsin, USA, from February 2007 through June 2008. Monitoring sites included an urban subwatershed, a rural subwatershed, and the Milwaukee River at the mouth. To collect samples that characterize variability throughout changing hydrologic periods, a process control system was developed for unattended, large-volume (56–2800L) filtration over extended durations. This system provided flow-weighted mean concentrations during runoff and extended (24-h) low-flow periods. Human viruses and bovine viruses were detected by real-time qPCR in 49% and 41% of samples (n=63), respectively. All human viruses analyzed were detected at least once including adenovirus (40% of samples), GI norovirus (10%), enterovirus (8%), rotavirus (6%), GII norovirus (1.6%) and hepatitis A virus (1.6%). Three of seven bovine viruses analyzed were detected including bovine polyomavirus (32%), bovine rotavirus (19%), and bovine viral diarrhea virus type 1 (5%). Human viruses were present in 63% of runoff samples resulting from precipitation and snowmelt, and 20% of low-flow samples. Maximum human virus concentrations exceeded 300genomiccopies/L. Bovine viruses were present in 46% of runoff samples resulting from precipitation and snowmelt and 14% of low-flow samples. The maximum bovine virus concentration was 11genomiccopies/L. Statistical modeling indicated that stream flow, precipitation, and season explained the variability of human viruses in the watershed, and hydrologic condition (runoff event or low-flow) and season explained the variability of the sum of human and bovine viruses; however, no model was identified that could explain the variability of bovine viruses alone. Understanding the factors that affect virus fate and transport in rivers will aid watershed management for minimizing human exposure and disease transmission.
has issue date	2014-08-15(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2014.05.072
bibo:pmid	24908645
has license	els-covid
sha1sum (hex)	5d0751545228e2b11e66a0f300541e29944bb5d1
schema:url	https://doi.org/10.1016/j.scitotenv.2014.05.072
resource representing a document's title	Human and bovine viruses in the Milwaukee River watershed: Hydrologically relevant representation and relations with environmental variables
has PubMed Central identifier	PMC7125695
has PubMed identifier	24908645
schema:publication	Science of The Total Environment
resource representing a document's body	covid:5d0751545228e2b11e66a0f300541e29944bb5d1#body_text
is schema:about of	named entity 'VIRUSES' named entity 'season' named entity 'Milwaukee River' named entity 'SEASON' named entity 'VIRUSES' named entity 'CONDITIONS' covid:arg/5d0751545228e2b11e66a0f300541e29944bb5d1 named entity 'RELATIONS' named entity 'MILWAUKEE RIVER' named entity 'ENVIRONMENTAL' named entity 'WATERSHED' named entity 'REPRESENTATION' named entity 'HUMAN' named entity 'VARIABLES' named entity 'VARIABILITY' named entity 'BOVINE' named entity 'RELEVANT' named entity 'PRECIPITATION' named entity 'EXPLAINED' named entity 'viruses' named entity 'precipitation' named entity 'response variable' named entity 'groundwater' named entity 'watershed' named entity 'precipitation intensity' named entity 'response variable' named entity 'manure' named entity 'UV light' named entity 'virus' named entity 'Atlanta' named entity 'adsorption' named entity 'viruses' named entity 'runoff' named entity 'overland flow' named entity 'Bayesian Information Criterion' named entity 'weather conditions' named entity 'viruses' named entity 'sanitary sewer overflows' named entity 'virus' named entity 'southern California' named entity 'Milwaukee' named entity 'vaccine' named entity 'wastewater' named entity 'rainy season' named entity 'viruses' named entity 'irrigation' named entity 'runoff' named entity 'runoff' named entity 'viruses' named entity 'virus' named entity 'watershed' named entity 'heavily populated area' named entity 'viruses' named entity 'echovirus' named entity 'regression analysis' named entity 'rotavirus' named entity 'Georgia' named entity 'viruses' named entity 'PCR' named entity 'viruses' named entity 'virus' named entity 'drain tiles' named entity 'watershed' named entity 'manure' named entity 'water quality' named entity 'boating' named entity 'virus' named entity 'poliovirus' named entity 'pathogens' named entity 'virus' named entity 'fishing' named entity 'virus' named entity 'viruses' named entity 'viruses' named entity 'viruses' named entity 'storage areas' named entity 'culture methods'

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