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Detection of Covid-19 Outbreaks Using Built Environment Testing for SARS-CoV-2.
Fralick, Michael; Nott, Caroline; Moggridge, Jason; Castellani, Lucas; Raudanskis, Ashley; Guttman, David S; Hinz, Aaron; Thampi, Nisha; Wong, Alex; Manuel, Doug; McGeer, Allison; Doukhanine, Evgueni; Mejbel, Hebah; Zanichelli, Veronica; Burella, Madison; Donaldson, Sylva L; Wang, Pauline W; Kassen, Rees; MacFadden, Derek R.
Afiliação
  • Fralick M; Division of General Internal Medicine, Sinai Health System, Toronto.
  • Nott C; The Ottawa Hospital Research Institute, Ottawa.
  • Moggridge J; Department of Medicine, University of Ottawa, Ottawa.
  • Castellani L; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto.
  • Raudanskis A; Sault Area Hospital, Sault Ste. Marie, Ontario, Canada.
  • Guttman DS; Clinical Sciences Division, NOSM University, Sudbury, Ontario, Canada.
  • Hinz A; Division of General Internal Medicine, Sinai Health System, Toronto.
  • Thampi N; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto.
  • Wong A; Department of Cell & Systems Biology, University of Toronto, Toronto.
  • Manuel D; Department of Biology, University of Ottawa, Ottawa.
  • McGeer A; Department of Biology, Carleton University, Ottawa.
  • Doukhanine E; Department of Pediatrics, University of Ottawa, Ottawa.
  • Mejbel H; Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa.
  • Zanichelli V; Department of Biology, Carleton University, Ottawa.
  • Burella M; Institute for Advancing Health Through Agriculture, Texas A&M AgriLife Research, College Station, TX.
  • Donaldson SL; The Ottawa Hospital Research Institute, Ottawa.
  • Wang PW; Department of Family Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa.
  • Kassen R; Department of Microbiology, Sinai Health System, Toronto.
  • MacFadden DR; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto.
NEJM Evid ; 2(3): EVIDoa2200203, 2023 Mar.
Article em En | MEDLINE | ID: mdl-38320044
ABSTRACT

BACKGROUND:

Environmental surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through wastewater has become a useful tool for population-level surveillance. Built environment sampling may provide a more spatially refined approach for surveillance in congregate living settings.

METHODS:

We conducted a prospective study in 10 long-term care homes (LTCHs) between September 2021 and November 2022. Floor surfaces were sampled weekly at multiple locations within each building and analyzed for the presence of SARS-CoV-2 using quantitative reverse transcriptase polymerase chain reaction. The primary outcome was the presence of a coronavirus disease 2019 (Covid-19) outbreak in the week that floor sampling was performed.

RESULTS:

Over the 14-month study period, we collected 4895 swabs at 10 LTCHs. During the study period, 23 Covid-19 outbreaks occurred with 119 cumulative weeks under outbreak. During outbreak periods, the proportion of floor swabs that were positive for SARS-CoV-2 was 54.3% (95% confidence interval [CI], 52 to 56.6), and during non-outbreak periods it was 22.3% (95% CI, 20.9 to 23.8). Using the proportion of floor swabs positive for SARS-CoV-2 to predict Covid-19 outbreak status in a given week, the area under the receiver-operating characteristic curve was 0.84 (95% CI, 0.78 to 0.9). Among 10 LTCHs with an outbreak and swabs performed in the prior week, eight had positive floor swabs exceeding 10% at least 5 days before outbreak identification. For seven of these eight LTCHs, positivity of floor swabs exceeded 10% more than 10 days before the outbreak was identified.

CONCLUSIONS:

Detection of SARS-CoV-2 on floors is strongly associated with Covid-19 outbreaks in LTCHs. These data suggest a potential role for floor sampling in improving early outbreak identification.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article