Use of wastewater metrics to track COVID-19 in the U.S.: a national time-series analysis over the first three quarters of 2022.

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Title: Use of wastewater metrics to track COVID-19 in the U.S.: a national time-series analysis over the first three quarters of 2022.
Authors: Varkila M; Departments of Medicine (Infectious Diseases and Geographic Medicine), Stanford University., Montez-Rath M; Department of Medicine (Nephrology), Stanford University., Salomon J; Department of Health Policy, Stanford University., Yu X; Department of Medicine (Nephrology), Stanford University., Block G; US Renal Care, Plano, Texas., Owens DK; Department of Health Policy, Stanford University., Chertow GM; Department of Medicine (Nephrology), Stanford University.; Epidemiology and Population Health, Stanford University., Parsonnet J; Departments of Medicine (Infectious Diseases and Geographic Medicine), Stanford University.; Epidemiology and Population Health, Stanford University., Anand S; Department of Medicine (Nephrology), Stanford University.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2023 Feb 08. Date of Electronic Publication: 2023 Feb 08.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Use of wastewater metrics to track COVID-19 in the U.S.: a national time-series analysis over the first three quarters of 2022.
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  Data: <searchLink fieldCode="AU" term="%22Varkila+M%22">Varkila M</searchLink>; Departments of Medicine (Infectious Diseases and Geographic Medicine), Stanford University.<br /><searchLink fieldCode="AU" term="%22Montez-Rath+M%22">Montez-Rath M</searchLink>; Department of Medicine (Nephrology), Stanford University.<br /><searchLink fieldCode="AU" term="%22Salomon+J%22">Salomon J</searchLink>; Department of Health Policy, Stanford University.<br /><searchLink fieldCode="AU" term="%22Yu+X%22">Yu X</searchLink>; Department of Medicine (Nephrology), Stanford University.<br /><searchLink fieldCode="AU" term="%22Block+G%22">Block G</searchLink>; US Renal Care, Plano, Texas.<br /><searchLink fieldCode="AU" term="%22Owens+DK%22">Owens DK</searchLink>; Department of Health Policy, Stanford University.<br /><searchLink fieldCode="AU" term="%22Chertow+GM%22">Chertow GM</searchLink>; Department of Medicine (Nephrology), Stanford University.; Epidemiology and Population Health, Stanford University.<br /><searchLink fieldCode="AU" term="%22Parsonnet+J%22">Parsonnet J</searchLink>; Departments of Medicine (Infectious Diseases and Geographic Medicine), Stanford University.; Epidemiology and Population Health, Stanford University.<br /><searchLink fieldCode="AU" term="%22Anand+S%22">Anand S</searchLink>; Department of Medicine (Nephrology), Stanford University.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2023 Feb 08. <i>Date of Electronic Publication: </i>2023 Feb 08.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36798337
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      – Type: doi
        Value: 10.1101/2023.02.06.23285542
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      – Code: eng
        Text: English
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      – TitleFull: Use of wastewater metrics to track COVID-19 in the U.S.: a national time-series analysis over the first three quarters of 2022.
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              Text: 2023 Feb 08
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              Y: 2023
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