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Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
dc.contributor.author | Trigo-Tasende, Noelia | |
dc.contributor.author | Vallejo, Juan Andrés | |
dc.contributor.author | Rumbo-Feal, Soraya | |
dc.contributor.author | Conde-Pérez, Kelly | |
dc.contributor.author | Vaamonde, Manuel | |
dc.contributor.author | López-Oriona, Ángel | |
dc.contributor.author | Barbeito, Inés | |
dc.contributor.author | Nasser-Ali, Mohammed | |
dc.contributor.author | Reif López, Rubén | |
dc.contributor.author | Rodiño-Janeiro, Bruno Kotska | |
dc.contributor.author | Fernández-Álvarez, Elisa | |
dc.contributor.author | Iglesias Corrás, Iago | |
dc.contributor.author | Tarrío-Saavedra, Javier | |
dc.contributor.author | Tomás, Laura | |
dc.contributor.author | Gallego-García, Pilar | |
dc.contributor.author | Posada, David | |
dc.contributor.author | Bou, Germán | |
dc.contributor.author | López-de-Ullibarri, Ignacio | |
dc.contributor.author | Cao, Ricardo | |
dc.contributor.author | Susana, Ladra | |
dc.contributor.author | Poza, Margarita | |
dc.date.accessioned | 2023-11-28T09:30:23Z | |
dc.date.available | 2023-11-28T09:30:23Z | |
dc.date.issued | 2023-07 | |
dc.identifier.citation | Trigo-Tasende, N., Vallejo, J.A., Rumbo-Feal, S. et al. Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain. Environ Sci Pollut Res 30, 79315–79334 (2023). https://doi.org/10.1007/s11356-023-27877-3 | es_ES |
dc.identifier.issn | 1614-7499 | |
dc.identifier.uri | http://hdl.handle.net/2183/34351 | |
dc.description | Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG | es_ES |
dc.description.abstract | [Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running from June 2020 to March 2022 in the wastewater treatment plant of Bens in A Coruña (Spain). The main goal of this work was to provide an effective early warning tool based in wastewater epidemiology to help in decision-making at both the social and public health levels. RT-qPCR procedures and Illumina sequencing were used to weekly monitor the viral load and to detect SARS-CoV-2 mutations in wastewater, respectively. In addition, own statistical models were applied to estimate the real number of infected people and the frequency of each emerging variant circulating in the community, which considerable improved the surveillance strategy. Our analysis detected 6 viral load waves in A Coruña with concentrations between 103 and 106 SARS-CoV-2 RNA copies/L. Our system was able to anticipate community outbreaks during the pandemic with 8-36 days in advance with respect to clinical reports and, to detect the emergence of new SARS-CoV-2 variants in A Coruña such as Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529 and BA.2) in wastewater with 42, 30, and 27 days, respectively, before the health system did. Data generated here helped local authorities and health managers to give a faster and more efficient response to the pandemic situation, and also allowed important industrial companies to adapt their production to each situation. The wastewater-based epidemiology program developed in our metropolitan area of A Coruña (Spain) during the SARS-CoV-2 pandemic served as a powerful early warning system combining statistical models with mutations and viral load monitoring in wastewater over time. | es_ES |
dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Funding for open access charge: Universidade da Coruña/CISUG. This work was supported by EDAR Bens S.A., A Coruña, Spain [grant references INV04020, INV12120, INV05921, and INV148721 to MP], by the National Plan for Scientific Research, Development and Technological Innovation funded by the Institute of Health Carlos III (ISCIII), Spain—General Subdirection of Assessment and Promotion of the Research-European Regional Development Fund (FEDER) “A way of making Europe” [grant references PI15/00860 to GB, PI17/01482, and PI20/00413 to MP], by the Galician Innovation Agency (GAIN) (Xunta de Galicia, Spain) [grant references IN607A 2016/22 to GB, ED431C-2016/015 and ED431C-2020/14 to RC, ED431C 2021/53 to SL and ED431G 2019/01 and COV20/00604 to RC and SL, by Ministry of Economic Affairs and Digital Transformation (MINECO), Spain [grant references MTM2017-82724-R to RC], by the Spanish Network for Research in Infectious Diseases [REIPI RD16/0016/0006 to GB], by the “Innova Saúde” Program, (INNOVAMICROLAB project) co-founded by the Galician Healthcare Service (SERGAS) and the Spanish Ministry of Science and Innovation, and by the Spanish Network of Research in Infectious Diseases (CIBERINFEC, ISCIII), and by the European Virus Archive Global (EVA-GLOBAL) project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 871029. SR-F was financially supported by REIPI RD16/0016/006, KC-P by IN607A 2016/22 and the Spanish Association against Cancer (AECC) and JAV by IN607A 2016/22. DP was funded by grant EPICOVIGAL FONDO SUPERA-COVID19 from Banco Santander-CSIC-CRUE, Spain, and grant CT850A-2 from (Health Knowledge Agency) ACIS SERGAS from the Consellería de Sanidade of Xunta de Galicia, Spain. | es_ES |
dc.description.sponsorship | EDAR Bens S.A.; INV04020 | es_ES |
dc.description.sponsorship | EDAR Bens S.A.; INV12120 | es_ES |
dc.description.sponsorship | EDAR Bens S.A.; INV05921 | es_ES |
dc.description.sponsorship | EDAR Bens S.A.; INV148721 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN607A 2016/22 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C-2016/015 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C-2020/14 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2021/53 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; COV20/00604 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI15%2F00860/ES/Desarrollo de una plataforma universal de vacunas bacterianas vivas atenuadas auxótrofas para D-glutamato: prevención y erradicación de infecciones por bacterias multirresistentes/ | es_ES |
dc.relation | info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI17%2F01482/ES/EVALUACION DE NUEVAS ESTRATEGIAS ANTIMICROBIANAS MEDIANTE SILENCIAMIENTO DE ARN VEHICULIZADO EN NANOCAPSULAS E INHIBIDORES ENZIMATICOS/ | es_ES |
dc.relation | info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PI20%2F00413/ES/FARMACOMICROBIOMICA Y MEDICINA PERSONALIZADA EN LA TERAPIA DEL CANCER COLORECTAL/ | es_ES |
dc.relation | nfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION/ | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RD16%2F0016%2F0006/ES/RED ESPAÑOLA DE INVESTIGACIÓN EN PATOLOGÍAS INFECCIOSAS/ | es_ES |
dc.relation.uri | https://doi.org/10.1007/s11356-023-27877-3 | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | COVID-19 | es_ES |
dc.subject | Early-warning system | es_ES |
dc.subject | SARS-CoV-2 | es_ES |
dc.subject | Statistical model | es_ES |
dc.subject | Viral load | es_ES |
dc.subject | Wastewater-based epidemiology | es_ES |
dc.title | Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Environmental Science and Pollution Research | es_ES |
UDC.volume | 30 | es_ES |
UDC.issue | 32 | es_ES |
UDC.startPage | 79315 | es_ES |
UDC.endPage | 79334 | es_ES |
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