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Making waves: Wastewater-based epidemiology for COVID-19 - approaches and challenges for surveillance and prediction.
Polo, David; Quintela-Baluja, Marcos; Corbishley, Alexander; Jones, Davey L; Singer, Andrew C; Graham, David W; Romalde, Jesús L.
  • Polo D; Department of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: david.polo.montero@usc.es.
  • Quintela-Baluja M; School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
  • Corbishley A; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, United Kingdom.
  • Jones DL; Environment Centre Wales, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom; UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia.
  • Singer AC; UK Centre for Ecology & Hydrology. Wallingford, Oxfordshire, OX10 8BB, United Kingdom.
  • Graham DW; School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
  • Romalde JL; Department of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: jesus.romalde@usc.es.
Water Res ; 186: 116404, 2020 Nov 01.
Article in English | MEDLINE | ID: covidwho-779749
ABSTRACT
The presence of SARS-CoV-2 in the feces of infected patients and wastewater has drawn attention, not only to the possibility of fecal-oral transmission but also to the use of wastewater as an epidemiological tool. The COVID-19 pandemic has highlighted problems in evaluating the epidemiological scope of the disease using classical surveillance approaches, due to a lack of diagnostic capacity, and their application to only a small proportion of the population. As in previous pandemics, statistics, particularly the proportion of the population infected, are believed to be widely underestimated. Furthermore, analysis of only clinical samples cannot predict outbreaks in a timely manner or easily capture asymptomatic carriers. Threfore, community-scale surveillance, including wastewater-based epidemiology, can bridge the broader community and the clinic, becoming a valuable indirect epidemiological prediction tool for SARS-CoV-2 and other pandemic viruses. This article summarizes current knowledge and discusses the critical factors for implementing wastewater-based epidemiology of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Water Res Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Water Res Year: 2020 Document Type: Article