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SARS-CoV-2 Detection from the Built Environment and Wastewater and Its Use for Hospital Surveillance
Aaron Hinz; Lydia Yuwei Xing; Evgueni Doukhanine; Laura A. Hug; Rees Kassen; Banu Ormeci; Richard J. Kibbee; Alex Wong; Derek MacFadden; Caroline Nott.
Afiliação
  • Aaron Hinz; University of Ottawa
  • Lydia Yuwei Xing; University of Ottawa
  • Evgueni Doukhanine; DNA GenoTek, Inc.
  • Laura A. Hug; University of Waterloo
  • Rees Kassen; University of Ottawa
  • Banu Ormeci; Carleton University
  • Richard J. Kibbee; Carleton University
  • Alex Wong; Carleton University
  • Derek MacFadden; The Ottawa Hospital Research Institute
  • Caroline Nott; The Ottawa Hospital Research Institute
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21255159
ABSTRACT
BackgroundSARS-CoV-2 causes significant morbidity and mortality in health care settings. Our understanding of the distribution of this virus in the built healthcare environment and wastewater, and relationship to disease burden, is limited. MethodsWe performed a prospective multi-center study of environmental sampling of SARS-CoV-2 from hospital surfaces and wastewater and evaluated their relationships with regional and hospital COVID-19 burden. We developed and validated a qPCR-based approach to surface sampling, and swab samples were collected weekly from different locations and surfaces across two tertiary care hospital campuses for a 10-week period during the pandemic, along with wastewater samples. ResultsOver a 10-week period, 963 swab samples were collected and analyzed. We found 61 (6%) swabs positive for SARS-CoV-2, with the majority of these (n=51) originating from floor samples. Wards that actively managed patients with COVID-19 had the highest frequency of positive samples (p<0.01). Detection frequency in built environment swabs was significantly associated with active cases in the hospital throughout the study (p<0.025). Wastewater viral signal changes appeared to predate change in case burden. ConclusionsEnvironment sampling for SARS-CoV-2, in particular from floors, may offer a unique and resolved approach to surveillance of COVID-19.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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