Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

StandardStandard

Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction. / Polo, David; Quintela-Baluja, Marcos; Corbishley, Alexander et al.
Yn: Water Research, Cyfrol 186, 116404, 01.11.2020.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Polo, D, Quintela-Baluja, M, Corbishley, A, Jones, DL, Singer, AC, Graham, DW & Romalde, JL 2020, 'Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction', Water Research, cyfrol. 186, 116404. https://doi.org/10.1016/j.watres.2020.116404

APA

Polo, D., Quintela-Baluja, M., Corbishley, A., Jones, D. L., Singer, A. C., Graham, D. W., & Romalde, J. L. (2020). Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction. Water Research, 186, Erthygl 116404. https://doi.org/10.1016/j.watres.2020.116404

CBE

Polo D, Quintela-Baluja M, Corbishley A, Jones DL, Singer AC, Graham DW, Romalde JL. 2020. Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction. Water Research. 186:Article 116404. https://doi.org/10.1016/j.watres.2020.116404

MLA

VancouverVancouver

Polo D, Quintela-Baluja M, Corbishley A, Jones DL, Singer AC, Graham DW et al. Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction. Water Research. 2020 Tach 1;186:116404. Epub 2020 Medi 9. doi: 10.1016/j.watres.2020.116404

Author

Polo, David ; Quintela-Baluja, Marcos ; Corbishley, Alexander et al. / Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction. Yn: Water Research. 2020 ; Cyfrol 186.

RIS

TY - JOUR

T1 - Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction

AU - Polo, David

AU - Quintela-Baluja, Marcos

AU - Corbishley, Alexander

AU - Jones, Davey L.

AU - Singer, Andrew C.

AU - Graham, David W.

AU - Romalde, Jesus L.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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.

AB - 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.

KW - Wastewater-based epidemiology

KW - Environmental monitoring

KW - Coronavirus

KW - SARS-CoV-2

KW - COVID-19

KW - Sewage

U2 - 10.1016/j.watres.2020.116404

DO - 10.1016/j.watres.2020.116404

M3 - Article

VL - 186

JO - Water Research

JF - Water Research

SN - 0043-1354

M1 - 116404

ER -