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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36798337 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti 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. – Name: Author Label: Authors Group: Au 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. – Name: TitleSource Label: Source Group: Src 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. – Name: TypePub Label: Publication Type Group: TypPub Data: Preprint; Journal Article – Name: TitleSource Label: Journal Info Group: Src 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 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1101/2023.02.06.23285542 Languages: – Code: eng Text: English Titles: – 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Varkila M – PersonEntity: Name: NameFull: Montez-Rath M – PersonEntity: Name: NameFull: Salomon J – PersonEntity: Name: NameFull: Yu X – PersonEntity: Name: NameFull: Block G – PersonEntity: Name: NameFull: Owens DK – PersonEntity: Name: NameFull: Chertow GM – PersonEntity: Name: NameFull: Parsonnet J – PersonEntity: Name: NameFull: Anand S IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 02 Text: 2023 Feb 08 Type: published Y: 2023 Titles: – TitleFull: MedRxiv : the preprint server for health sciences Type: main |
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