دورية أكاديمية
Scaling of SARS-CoV-2 RNA in Settled Solids from Multiple Wastewater Treatment Plants to Compare Incidence Rates of Laboratory-Confirmed COVID-19 in Their Sewersheds.
| العنوان: | Scaling of SARS-CoV-2 RNA in Settled Solids from Multiple Wastewater Treatment Plants to Compare Incidence Rates of Laboratory-Confirmed COVID-19 in Their Sewersheds. |
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| المؤلفون: | Wolfe MK; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Archana A; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Catoe D; Joint Initiative for Metrology in Biology, SLAC National Accelerator Laboratory, Stanford, California 94305, United States., Coffman MM; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Dorevich S; Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois, Chicago, Illinois 60612, United States., Graham KE; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Kim S; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Grijalva LM; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Roldan-Hernandez L; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Silverman AI; Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, New York 11201, United States.; School of Global Public Health, New York University, New York, New York 10003, United States., Sinnott-Armstrong N; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, United States., Vugia DJ; Infectious Diseases Branch, California Department of Public Health, Richmond, California 94804, United States., Yu AT; Infectious Diseases Branch, California Department of Public Health, Richmond, California 94804, United States., Zambrana W; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States., Wigginton KR; Department of Civil and Environmental Engineering, University of Michigan,Ann Arbor, Michigan 48109, United States., Boehm AB; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States. |
| المصدر: | Environmental science & technology letters [Environ Sci Technol Lett] 2021 Apr 12; Vol. 8 (5), pp. 398-404. Date of Electronic Publication: 2021 Apr 12 (Print Publication: 2021). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101628367 Publication Model: eCollection Cited Medium: Print ISSN: 2328-8930 (Print) NLM ISO Abbreviation: Environ Sci Technol Lett Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Washington, DC : American Chemical Society |
| مستخلص: | Published and unpublished reports show that SARS-CoV-2 RNA in publicly owned treatment work (POTW) wastewater influent and solids is associated with new COVID-19 cases or incidence in associated sewersheds, but methods for comparing data collected from diverse POTWs to infer information about the relative incidence of laboratory-confirmed COVID-19 cases, and scaling to allow such comparisons, have not been previously established. Here, we show that SARS-CoV-2 N1 and N2 concentrations in solids normalized by concentrations of PMMoV RNA in solids can be used to compare incidence of laboratory confirmed new COVID-19 cases across POTWs. Using data collected at seven POTWs along the United States West Coast, Midwest, and East Coast serving ∼3% of the U.S. population (9 million people), we show that a 1 log change in N gene/PMMoV is associated with a 0.24 (range 0.19 to 0.29) log Competing Interests: The authors declare no competing financial interest. (© 2021 American Chemical Society.) |
| تواريخ الأحداث: | Date Created: 20230811 Latest Revision: 20230829 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1021/acs.estlett.1c00184 |
| PMID: | 37566351 |
| قاعدة البيانات: | MEDLINE |
Find this issue from the American Chemical Society | تدمد: | 2328-8930 |
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| DOI: | 10.1021/acs.estlett.1c00184 |