SARS-CoV-2 Detection from the Built Environment and Wastewater and Its Use for Hospital Surveillance

التفاصيل البيبلوغرافية
العنوان: SARS-CoV-2 Detection from the Built Environment and Wastewater and Its Use for Hospital Surveillance
المؤلفون: MacFadden D, Hinz A, Rees Kassen, Banu Örmeci, Richard Kibbee, Alex Wong, Nott C, Xing Ly, Laura A. Hug, Doukhanine E
بيانات النشر: Cold Spring Harbor Laboratory, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Wastewater, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Environmental health, Health care, Pandemic, Medicine, Sampling (medicine), business, Disease burden, Built environment
الوصف: 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 (pConclusionsEnvironment sampling for SARS-CoV-2, in particular from floors, may offer a unique and resolved approach to surveillance of COVID-19.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c20326f4bf50c9e55c966c18507d6d7d
https://doi.org/10.1101/2021.04.09.21255159
حقوق: OPEN
رقم الأكسشن: edsair.doi...........c20326f4bf50c9e55c966c18507d6d7d
قاعدة البيانات: OpenAIRE