Metropolitan wastewater analysis for COVID-19 epidemiological surveillance
The COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a rapidly emerging pandemic which has enforced extreme containment measures worldwide. In the absence of a vaccine or efficient treatment, cost-effective epidemiological surveillance strategies are urgently needed. Here, we have used RT-qPCR for SARS-CoV-2 detection in a series of longitudinal metropolitan wastewaters samples collected from February to April 2020, during the earliest stages of the epidemic in the Region of Valencia, Spain. We were able to consistently detect SARS-CoV-2 RNA in samples taken in late February, when communicated cases in that region were only incipient. We also find that the wastewater viral RNA context increased rapidly and anticipated the subsequent ascent in the number of declared cases. Our results strongly suggest that the virus was undergoing community transmission earlier than previously believed, and suggest that wastewater analysis could be sensitive and cost-effective strategy for COVID-19 epidemiological surveillance. Routine implementation of this surveillance tool would significantly improve our preparedness against new or re-occurring viral outbreaks.
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Format: | artículo biblioteca |
Language: | English |
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Elsevier BV
2020-09-01
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Subjects: | Epidemiological surveillance, SARS-CoV-2, COVID-19, Early warning, |
Online Access: | http://hdl.handle.net/10261/219595 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003339 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100004587 |
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dig-iata-es-10261-2195952021-12-28T15:33:39Z Metropolitan wastewater analysis for COVID-19 epidemiological surveillance Randazzo, Walter Cuevas Ferrando, Enric Sanjuán, Rafael Domingo-Calap, Pilar Sánchez Moragas, Gloria Consejo Superior de Investigaciones Científicas (España) Generalitat Valenciana European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Instituto de Salud Carlos III Randazzo, Walter [0000-0002-7433-149X] Domingo-Calap, Pilar [0000-0003-2829-8809] Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning The COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a rapidly emerging pandemic which has enforced extreme containment measures worldwide. In the absence of a vaccine or efficient treatment, cost-effective epidemiological surveillance strategies are urgently needed. Here, we have used RT-qPCR for SARS-CoV-2 detection in a series of longitudinal metropolitan wastewaters samples collected from February to April 2020, during the earliest stages of the epidemic in the Region of Valencia, Spain. We were able to consistently detect SARS-CoV-2 RNA in samples taken in late February, when communicated cases in that region were only incipient. We also find that the wastewater viral RNA context increased rapidly and anticipated the subsequent ascent in the number of declared cases. Our results strongly suggest that the virus was undergoing community transmission earlier than previously believed, and suggest that wastewater analysis could be sensitive and cost-effective strategy for COVID-19 epidemiological surveillance. Routine implementation of this surveillance tool would significantly improve our preparedness against new or re-occurring viral outbreaks. This research was funded by CSIC 202070E101 grant, 210152 project of Valencian Innovation Agency/GV, and AGL2017-82909 (AEI/FEDER, UE) funded by Spanish Ministry of Science, Innovation and Universities to G.S., ERC Consolidator Grant 724519-Vis-à-Vis to R.S. and FONDO-COVID19 COV20/00210 funded by Instituto de Salud Carlos III to P.D-C. W.R. was supported by APOSTD/2018/150 postdoctoral fellowship, and E.C–F. was supported by a predoctoral contract from the MICINN, Call 2018. Peer reviewed 2020-09-14T12:25:04Z 2020-09-14T12:25:04Z 2020-09-01 artículo http://purl.org/coar/resource_type/c_6501 International Journal of Hygiene and Environmental Health 230: 113621 (2020) 1438-4639 http://hdl.handle.net/10261/219595 10.1016/j.ijheh.2020.113621 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003339 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100004587 32911123 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/AGL2017-82909 AGL2017-82909/AEI/10.13039/501100011033 Publisher's version https://doi.org/10.1016/j.ijheh.2020.113621 Sí open Elsevier BV |
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Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning |
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Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning Randazzo, Walter Cuevas Ferrando, Enric Sanjuán, Rafael Domingo-Calap, Pilar Sánchez Moragas, Gloria Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
description |
The COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a rapidly emerging pandemic which has enforced extreme containment measures worldwide. In the absence of a vaccine or efficient treatment, cost-effective epidemiological surveillance strategies are urgently needed. Here, we have used RT-qPCR for SARS-CoV-2 detection in a series of longitudinal metropolitan wastewaters samples collected from February to April 2020, during the earliest stages of the epidemic in the Region of Valencia, Spain. We were able to consistently detect SARS-CoV-2 RNA in samples taken in late February, when communicated cases in that region were only incipient. We also find that the wastewater viral RNA context increased rapidly and anticipated the subsequent ascent in the number of declared cases. Our results strongly suggest that the virus was undergoing community transmission earlier than previously believed, and suggest that wastewater analysis could be sensitive and cost-effective strategy for COVID-19 epidemiological surveillance. Routine implementation of this surveillance tool would significantly improve our preparedness against new or re-occurring viral outbreaks. |
author2 |
Consejo Superior de Investigaciones Científicas (España) |
author_facet |
Consejo Superior de Investigaciones Científicas (España) Randazzo, Walter Cuevas Ferrando, Enric Sanjuán, Rafael Domingo-Calap, Pilar Sánchez Moragas, Gloria |
format |
artículo |
topic_facet |
Epidemiological surveillance SARS-CoV-2 COVID-19 Early warning |
author |
Randazzo, Walter Cuevas Ferrando, Enric Sanjuán, Rafael Domingo-Calap, Pilar Sánchez Moragas, Gloria |
author_sort |
Randazzo, Walter |
title |
Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
title_short |
Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
title_full |
Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
title_fullStr |
Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
title_full_unstemmed |
Metropolitan wastewater analysis for COVID-19 epidemiological surveillance |
title_sort |
metropolitan wastewater analysis for covid-19 epidemiological surveillance |
publisher |
Elsevier BV |
publishDate |
2020-09-01 |
url |
http://hdl.handle.net/10261/219595 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003339 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100004587 |
work_keys_str_mv |
AT randazzowalter metropolitanwastewateranalysisforcovid19epidemiologicalsurveillance AT cuevasferrandoenric metropolitanwastewateranalysisforcovid19epidemiologicalsurveillance AT sanjuanrafael metropolitanwastewateranalysisforcovid19epidemiologicalsurveillance AT domingocalappilar metropolitanwastewateranalysisforcovid19epidemiologicalsurveillance AT sanchezmoragasgloria metropolitanwastewateranalysisforcovid19epidemiologicalsurveillance |
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1777670142684037120 |