Predicting COVID-19 cases using SARS-CoV-2 RNA in air, surface swab and wastewater samples
- PMID: 36202365
- PMCID: PMC9529341
- DOI: 10.1016/j.scitotenv.2022.159188
Predicting COVID-19 cases using SARS-CoV-2 RNA in air, surface swab and wastewater samples
Abstract
Genomic footprints of pathogens shed by infected individuals can be traced in environmental samples, which can serve as a noninvasive method of infectious disease surveillance. The research evaluates the efficacy of environmental monitoring of SARS-CoV-2 RNA in air, surface swabs and wastewater to predict COVID-19 cases. Using a prospective experimental design, air, surface swabs, and wastewater samples were collected from a college dormitory housing roughly 500 students from March to May 2021 at the University of Miami, Coral Gables, FL. Students were randomly screened for COVID-19 during the study period. SARS-CoV-2 concentration in environmental samples was quantified using Volcano 2nd Generation-qPCR. Descriptive analyses were conducted to examine the associations between time-lagged SARS-CoV-2 in environmental samples and COVID-19 cases. SARS-CoV-2 was detected in air, surface swab and wastewater samples on 52 (63.4 %), 40 (50.0 %) and 57 (68.6 %) days, respectively. On 19 (24 %) of 78 days SARS-CoV-2 was detected in all three sample types. COVID-19 cases were reported on 11 days during the study period and SARS-CoV-2 was also detected two days before the case diagnosis on all 11 (100 %), 9 (81.8 %) and 8 (72.7 %) days in air, surface swab and wastewater samples, respectively. SARS-CoV-2 detection in environmental samples was an indicator of the presence of local COVID-19 cases and a 3-day lead indicator for a potential outbreak at the dormitory building scale. Proactive environmental surveillance of SARS-CoV-2 or other pathogens in multiple environmental media has potential to guide targeted measures to contain and/or mitigate infectious disease outbreaks within communities.
Keywords: Air, surface and wastewater; COVID-19; COVID-19 epidemiology; Environmental surveillance; SARS-CoV-2.
Copyright © 2022 Elsevier B.V. All rights reserved.
Conflict of interest statement
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.
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COVID-19 Prediction using Genomic Footprint of SARS-CoV-2 in Air, Surface Swab and Wastewater Samples.medRxiv [Preprint]. 2022 Apr 1:2022.03.14.22272314. doi: 10.1101/2022.03.14.22272314. medRxiv. 2022. Update in: Sci Total Environ. 2023 Jan 20;857(Pt 1):159188. doi: 10.1016/j.scitotenv.2022.159188. PMID: 35313580 Free PMC article. Updated. Preprint.
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