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The spatial and temporal distribution of SARS-CoV-2 from the built environment of COVID-19 patient rooms: A multicentre prospective study.
Michael Fralick; Madison Burella; Aaron Hinz; Hebah S Mejbel; David S Guttman; Lydia Xing; Jason Moggridge; John Lapp; Alex Wong; Caroline Nott; Nicole Harris-Linton; Reese Kassen; Derek MacFadden.
Afiliação
  • Michael Fralick; Sinai Health System, Division of General Internal Medicine, Toronto, Ontario; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Can
  • Madison Burella; Sinai Health System, Division of General Internal Medicine, Toronto, Ontario
  • Aaron Hinz; Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
  • Hebah S Mejbel; Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
  • David S Guttman; Department of Cell & Systems Biology, University of Toronto, Toronto, Ontario, Canada; Centre for the Analysis of Genome Evolution & Function, University of Tor
  • Lydia Xing; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
  • Jason Moggridge; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
  • John Lapp; Sinai Health System, Division of General Internal Medicine, Toronto, Ontario
  • Alex Wong; Department of Biology, Carleton University, Ottawa, Ontario, Canada
  • Caroline Nott; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
  • Nicole Harris-Linton; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
  • Reese Kassen; Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
  • Derek MacFadden; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22282241
ABSTRACT
BackgroundSARS-CoV-2 can be detected from the built environment (e.g., floors), but it is unknown how the viral burden changes over space and time surrounding an infected patient. Characterising these data can help advance our understanding and interpretation of surface swabs from the built environment. MethodsWe conducted a prospective study at two hospitals in Ontario, Canada between January 19, 2022 and February 11, 2022. We performed serial floor sampling for SARS-CoV-2 in rooms of patients newly hospitalized with COVID-19 in the past 48 hours. We sampled the floor twice daily until the occupant moved to another room, was discharged, or 96 hours had elapsed. Floor sampling locations included 1m from the hospital bed, 2m from the hospital bed, and at the rooms threshold to the hallway (typically 3 - 5m from the hospital bed). The samples were analyzed for the presence of SARS-CoV-2 using qPCR. We calculated the sensitivity of detecting SARS-CoV-2 in a patient with COVID-19, and we evaluated how the percentage of positive swabs and the cycle threshold of the swabs changed over time. We also compared the cycle threshold between the two hospitals. ResultsOver the 6-week study period we collected 164 floor swabs from the rooms of 13 patients. The overall percentage of swabs positive for SARS-CoV-2 was 93% and the median cycle threshold (for positive swabs) was 33.7 (IQR 30.9, 37.5). On day 0 of swabbing the percentage of swabs positive for SARS-CoV-2 was 81.1% and the median cycle threshold was 33.7 (IQR 32.1, 38.3) compared to swabs performed on day 2 or later where the percentage of swabs positive for SARS-CoV-2 was 98.1% and the cycle threshold was 33.4 (IQR 30.7, 35.7). We found that viral detection did not change with increasing time (since the first sample collection) over the sampling period, OR 1.65 per day (95% CI 0.68, 4.02; p = 0.27). Similarly, viral detection did not change with increasing distance from the patients bed (1m, 2m, or 3m), OR 0.85 per metre (95% CI 0.38, 1.88; p = 0.69). The cycle threshold was lower (e.g. more virus) in The Ottawa Hospital (median Cq 30.8) where the floors are cleaned once daily rather than the Toronto hospital (median Cq 37.3) where floors were cleaned twice daily. ConclusionsWe were able to detect SARS-CoV-2 on the floors of rooms of patients with COVID-19 and the viral burden did not vary over time or by distance from the bed. These results suggest floor swabbing for the detection of SARS-CoV-2 in a built environment such as a hospital room is both accurate and robust to variation in sampling location and duration of occupancy.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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