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dc.rights.licenseopenen_US
dc.contributor.authorSAKAROVITCH, Charlotte
dc.contributor.authorSCHLOSSER, Olivier
dc.contributor.authorCOURTOIS, Sophie
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPROUST-LIMA, Cecile
dc.contributor.authorCOUALLIER, Joanne
dc.contributor.authorPETRAU, Agnes
dc.contributor.authorLITRICO, Xavier
dc.contributor.authorLORET, Jean-Francois
dc.date.accessioned2022-05-16T11:48:13Z
dc.date.available2022-05-16T11:48:13Z
dc.date.issued2022-04-01
dc.identifier.issn1477-8920 (Print) 1477-8920 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140066
dc.description.abstractEnSARS-CoV-2 RNA quantification in wastewater has emerged as a relevant additional means to monitor the COVID-19 pandemic. However, the concentration can be affected by black water dilution factors or movements of the sewer shed population, leading to misinterpretation of measurement results. The aim of this study was to evaluate the performance of different indicators to accurately interpret SARS-CoV-2 in wastewater. Weekly/bi-weekly measurements from three cities in France were analysed from February to September 2021. The concentrations of SARS-CoV-2 gene copies were normalised to the faecal-contributing population using simple sewage component indicators. To reduce the measurement error, a composite index was created to combine simultaneously the information carried by the simple indicators. The results showed that the regularity (mean absolute difference between observation and the smoothed curve) of the simple indicators substantially varied across sampling points. The composite index consistently showed better regularity compared to the other indicators and was associated to the lowest variation in correlation coefficient across sampling points. These findings suggest the recommendation for the use of a composite index in wastewater-based epidemiology to compensate for variability in measurement results.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.enCOVID-19
dc.subject.enNormalisation
dc.subject.enSARS-CoV-2
dc.subject.enWastewater-based epidemiology
dc.subject.enWastewater monitoring
dc.title.enMonitoring of SARS-CoV-2 in wastewater: what normalisation for improved understanding of epidemic trends?
dc.typeArticle de revueen_US
dc.identifier.doi10.2166/wh.2022.012en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed35482387en_US
bordeaux.journalJournal of Water and Healthen_US
bordeaux.page712-726en_US
bordeaux.volume20en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue4en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03669140
hal.version1
hal.date.transferred2022-05-16T11:48:21Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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