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Indoor Dust as a Matrix for Surveillance of COVID-19.
Renninger, Nicole; Nastasi, Nicholas; Bope, Ashleigh; Cochran, Samuel J; Haines, Sarah R; Balasubrahmaniam, Neeraja; Stuart, Katelyn; Bivins, Aaron; Bibby, Kyle; Hull, Natalie M; Dannemiller, Karen C.
  • Renninger N; Department of Civil, Environmental & Geodetic Engineering, College of Engineering, Ohio State University, Columbus, Ohio, USA.
  • Nastasi N; Department of Civil, Environmental & Geodetic Engineering, College of Engineering, Ohio State University, Columbus, Ohio, USA.
  • Bope A; Environmental Sciences Graduate Program, Ohio State University, Columbus, Ohio, USA.
  • Cochran SJ; Division of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, Ohio, USA.
  • Haines SR; Department of Civil, Environmental & Geodetic Engineering, College of Engineering, Ohio State University, Columbus, Ohio, USA.
  • Balasubrahmaniam N; Environmental Sciences Graduate Program, Ohio State University, Columbus, Ohio, USA.
  • Stuart K; Division of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, Ohio, USA.
  • Bivins A; Department of Civil, Environmental & Geodetic Engineering, College of Engineering, Ohio State University, Columbus, Ohio, USA.
  • Bibby K; Environmental Sciences Graduate Program, Ohio State University, Columbus, Ohio, USA.
  • Hull NM; Division of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, Ohio, USA.
  • Dannemiller KC; Department of Civil, Environmental & Geodetic Engineering, College of Engineering, Ohio State University, Columbus, Ohio, USA.
mSystems ; 6(2)2021 Apr 13.
Article in English | MEDLINE | ID: covidwho-1394062
ABSTRACT
Ongoing disease surveillance is a critical tool to mitigate viral outbreaks, especially during a pandemic. Environmental monitoring has significant promise even following widespread vaccination among high-risk populations. The goal of this work is to demonstrate molecular severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) monitoring in bulk floor dust and related samples as a proof of concept of a noninvasive environmental surveillance methodology for coronavirus disease 2019 (COVID-19) and potentially other viral diseases. Surface swab, passive sampler, and bulk floor dust samples were collected from the rooms of individuals positive for COVID-19, and SARS-CoV-2 was measured with quantitative reverse transcription-PCR (RT-qPCR) and two digital PCR (dPCR) methods. Bulk dust samples had a geometric mean concentration of 163 copies/mg of dust and ranged from nondetects to 23,049 copies/mg of dust detected using droplet digital PCR (ddPCR). An average of 89% of bulk dust samples were positive for the virus by the detection methods compared to 55% of surface swabs and fewer on the passive sampler (19% carpet, 29% polystyrene). In bulk dust, SARS-CoV-2 was detected in 76%, 93%, and 97% of samples measured by qPCR, chip-based dPCR, and droplet dPCR, respectively. Detectable viral RNA in the bulk vacuum bags did not measurably decay over 4 weeks, despite the application of a disinfectant before room cleaning. Future monitoring efforts should further evaluate RNA persistence and heterogeneity in dust. This study did not measure virus infectivity in dust or potential transmission associated with dust. Overall, this work demonstrates that bulk floor dust is a potentially useful matrix for long-term monitoring of viral disease in high-risk populations and buildings.IMPORTANCE Environmental surveillance to assess pathogen presence within a community is proving to be a critical tool to protect public health, and it is especially relevant during the ongoing COVID-19 pandemic. Importantly, environmental surveillance tools also allow for the detection of asymptomatic disease carriers and for routine monitoring of a large number of people as has been shown for SARS-CoV-2 wastewater monitoring. However, additional monitoring techniques are needed to screen for outbreaks in high-risk settings such as congregate care facilities. Here, we demonstrate that SARS-CoV-2 can be detected in bulk floor dust collected from rooms housing infected individuals. This analysis suggests that dust may be a useful and efficient matrix for routine surveillance of viral disease.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Year: 2021 Document Type: Article Affiliation country: MSYSTEMS.01350-20

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Year: 2021 Document Type: Article Affiliation country: MSYSTEMS.01350-20