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dc.contributor.authorInnes, G.K.
dc.contributor.authorSchmitz, B.W.
dc.contributor.authorBrierley, P.E.
dc.contributor.authorGuzman, J.
dc.contributor.authorPrasek, S.M.
dc.contributor.authorRuedas, M.
dc.contributor.authorSanchez, A.
dc.contributor.authorBhattacharjee, S.
dc.contributor.authorSlinski, S.
dc.date.accessioned2023-12-22T05:06:48Z
dc.date.available2023-12-22T05:06:48Z
dc.date.issued2022-11-30
dc.identifier.citationInnes, G. K., Schmitz, B. W., Brierley, P. E., Guzman, J., Prasek, S. M., Ruedas, M., Sanchez, A., Bhattacharjee, S., & Slinski, S. (2022). Wastewater-Based Epidemiology Mitigates COVID-19 Outbreaks at a Food Processing Facility near the Mexico-U.S. Border—November 2020–March 2022. Viruses, 14(12).
dc.identifier.issn1999-4915
dc.identifier.pmid36560688
dc.identifier.doi10.3390/v14122684
dc.identifier.urihttp://hdl.handle.net/10150/670584
dc.description.abstractBackground: Wastewater-based epidemiology (WBE) has the potential to inform activities to contain infectious disease outbreaks in both the public and private sectors. Although WBE for SARS-CoV-2 has shown promise over short time intervals, no other groups have evaluated how a public-private partnership could influence disease spread through public health action over time. The aim of this study was to characterize and assess the application of WBE to inform public health response and contain COVID-19 infections in a food processing facility. Methods: Over the period November 2020–March 2022, wastewater in an Arizona food processing facility was monitored for the presence of SARS-CoV-2 using Real-Time Quantitative PCR. Upon positive detection, partners discussed public health intervention strategies, including infection control reinforcement, antigen testing, and vaccination. Results: SARS-CoV-2 RNA was detected on 18 of 205 days in which wastewater was sampled and analyzed (8.8%): seven during Wild-type predominance and 11 during Omicron-variant predominance. All detections triggered the reinforcement of infection control guidelines. In five of the 18 events, active antigen testing identified asymptomatic workers. Conclusions: These steps heightened awareness to refine infection control protocols and averted possible transmission events during periods where detection occurred. This public-private partnership has potentially decreased human illness and economic loss during the COVID-19 pandemic. © 2022 by the authors.
dc.language.isoen
dc.publisherMDPI
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.subjectsurveillance
dc.subjecttargeted clinical testing
dc.subjectwastewater-based epidemiology
dc.titleWastewater-Based Epidemiology Mitigates COVID-19 Outbreaks at a Food Processing Facility near the Mexico-U.S. Border—November 2020–March 2022
dc.typeArticle
dc.typetext
dc.contributor.departmentYuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona
dc.contributor.departmentWater & Energy Sustainable Technology (WEST) Center, University of Arizona
dc.identifier.journalViruses
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleViruses
refterms.dateFOA2023-12-22T05:06:48Z


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).