Wastewater based surveillance can be used to reduce clinical testing intensity on a university campus.

Autor: Amirali A; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Babler KM; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Sharkey ME; Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA., Beaver CC; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Boone MM; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Comerford S; Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA., Cooper D; DataGrade Solutions, LLC, Miami, FL 33136, USA., Currall BB; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Goodman KW; Frost Institute for Data Science & Computing, University of Miami, Coral Gables, FL 33146, USA; Institute for Bioethics and Health Policy, University of Miami Miller School of Medicine, Miami, 33136, FL, USA., Grills GS; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Kobetz E; Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA., Kumar N; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Laine J; Environmental Health and Safety, University of Miami, Miami, FL 33136, USA., Lamar WE; Division of Occupational Health, Safety & Compliance, University of Miami Health System, Miami, FL 33136, USA., Mason CE; Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA., Reding BD; Environmental Health and Safety, University of Miami, Miami, FL 33136, USA., Roca MA; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Ryon K; Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA., Schürer SC; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL 33136, USA; Institute for Data Science & Computing, University of Miami, Coral Gables, FL 33146, USA., Shukla BS; Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA., Solle NS; Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Stevenson M; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Tallon JJ Jr; Facilities and Operations, University of Miami, Coral Gables, FL 33146, USA., Vidović D; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Williams SL; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Yin X; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA., Solo-Gabriele HM; Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA. Electronic address: hmsolo@miami.edu.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2024 Mar 25; Vol. 918, pp. 170452. Date of Electronic Publication: 2024 Jan 29.
DOI: 10.1016/j.scitotenv.2024.170452
Abstrakt: Clinical testing has been a vital part of the response to and suppression of the COVID-19 pandemic; however, testing imposes significant burdens on a population. College students had to contend with clinical testing while simultaneously dealing with health risks and the academic pressures brought on by quarantines, changes to virtual platforms, and other disruptions to daily life. The objective of this study was to analyze whether wastewater surveillance can be used to decrease the intensity of clinical testing while maintaining reliable measurements of diseases incidence on campus. Twelve months of human health and wastewater surveillance data for eight residential buildings on a university campus were analyzed to establish how SARS-CoV-2 levels in the wastewater can be used to minimize clinical testing burden on students. Wastewater SARS-CoV-2 levels were used to create multiple scenarios, each with differing levels of testing intensity, which were compared to the actual testing volumes implemented by the university. We found that scenarios in which testing intensity fluctuations matched rise and falls in SARS-CoV-2 wastewater levels had stronger correlations between SARS-CoV-2 levels and recorded clinical positives. In addition to stronger correlations, most scenarios resulted in overall fewer weekly clinical tests performed. We suggest the use of wastewater surveillance to guide COVID-19 testing as it can significantly increase the efficacy of COVID-19 surveillance while reducing the burden placed on college students during a pandemic. Future efforts should be made to integrate wastewater surveillance into clinical testing strategies implemented on college campuses.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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