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A wastewater-based epidemiology tool for COVID-19 surveillance in Portugal
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dc.contributor.author | Monteiro, Sílvia | |
dc.contributor.author | Rente, Daniela | |
dc.contributor.author | Cunha, Mónica V. | |
dc.contributor.author | Gomes, Manuel Carmo | |
dc.contributor.author | Marques, Tiago A. | |
dc.contributor.author | Lourenço, Artur B. | |
dc.contributor.author | Cardoso, Eugénia | |
dc.contributor.author | Álvaro, Pedro | |
dc.contributor.author | Silva, Marco | |
dc.contributor.author | Coelho, Norberta | |
dc.contributor.author | Vilaça, João | |
dc.contributor.author | Meireles, Fátima | |
dc.contributor.author | Brôco, Nuno | |
dc.contributor.author | Carvalho, Marta | |
dc.contributor.author | Santos, Ricardo | |
dc.date.accessioned | 2022-09-10T23:50:44Z | |
dc.date.available | 2022-09-10T23:50:44Z | |
dc.date.issued | 2022-01-15 | |
dc.identifier | 275869804 | |
dc.identifier | 9abccadb-e431-4ac0-81fd-1f4912abdf6c | |
dc.identifier | 85114825840 | |
dc.identifier | 000704389800014 | |
dc.identifier.citation | Monteiro , S , Rente , D , Cunha , M V , Gomes , M C , Marques , T A , Lourenço , A B , Cardoso , E , Álvaro , P , Silva , M , Coelho , N , Vilaça , J , Meireles , F , Brôco , N , Carvalho , M & Santos , R 2022 , ' A wastewater-based epidemiology tool for COVID-19 surveillance in Portugal ' , Science of the Total Environment , vol. 804 , 150264 . https://doi.org/10.1016/j.scitotenv.2021.150264 | en |
dc.identifier.issn | 0048-9697 | |
dc.identifier.other | RIS: urn:6FE2064D16EA8DD5CE7354799AC1E218 | |
dc.identifier.other | ORCID: /0000-0002-2581-1972/work/100172365 | |
dc.identifier.uri | https://hdl.handle.net/10023/25989 | |
dc.description | Funding: Strategic funding of Fundação para a Ciência e a Tecnologia (FCT), Portugal, to cE3c and BioISI Research Units ( UIDB/00329/2020 and UIDB/04046/2020 ] is also gratefully acknowledged. This work was supported by Programa Operacional de Competitividade e Internacionalização (POCI) (FEDER component), Programa Operacional Regional de Lisboa , and Programa Operacional Regional do Norte (Project COVIDETECT, ref. 048467 ). | en |
dc.description.abstract | The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater produced interest in its use for sentinel surveillance at a community level and as a complementary approach to syndromic surveillance. With this work, we set the foundations for wastewater-based epidemiology (WBE) in Portugal by monitoring the trends of SARS-CoV-2 RNA circulation in the community, on a nationwide perspective during different epidemiological phases of the pandemic. The Charité assays (E_Sarbecco, RdRP, and N_Sarbecco) were applied to monitor, over 32-weeks (April to December 2020), the dynamics of SARS-CoV-2 RNA at the inlet of five wastewater treatment plants (WWTP), which together serve more than two million people in Portugal. Raw wastewater from three Coronavirus disease 2019 (COVID-19) reference hospitals was also analyzed during this period. In total, more than 600 samples were tested. For the first weeks, detection of SARS-CoV-2 RNA was sporadic, with concentrations varying from 103 to 105 genome copies per liter (GC/L). Prevalence of SARS-CoV-2 RNA increased steeply by the end of May into late June, mainly in Lisboa e Vale do Tejo region (LVT), during the reopening phase. After the summer, with the reopening of schools in mid-September and return to partial face-to-face work, a pronounced increase of SARS-CoV-2 RNA in wastewater was detected. In the LVT area, SARS-CoV-2 RNA load agreed with reported trends in hotspots of infection. Synchrony between trends of SARS-CoV-2 RNA in raw wastewater and daily new COVID-19 cases highlights the value of WBE as a surveillance tool, particularly after the phasing out of the epidemiological curve and when hotspots of disease re-emerge in the population which might be difficult to spot based solely on syndromic surveillance and contact tracing. This is the first study crossing several epidemiological stages highlighting the long-term use of WBE for SARS-CoV-2. | |
dc.format.extent | 10 | |
dc.format.extent | 5198787 | |
dc.language.iso | eng | |
dc.relation.ispartof | Science of the Total Environment | en |
dc.subject | SARS-CoV-2 | en |
dc.subject | Wastewater-based epidemiology | en |
dc.subject | COVID-19 | en |
dc.subject | Hospital wastewater | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | TD Environmental technology. Sanitary engineering | en |
dc.subject | Environmental Chemistry | en |
dc.subject | Environmental Engineering | en |
dc.subject | Pollution | en |
dc.subject | Waste Management and Disposal | en |
dc.subject | 3rd-DAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | AC | en |
dc.subject.lcc | RA0421 | en |
dc.subject.lcc | TD | en |
dc.title | A wastewater-based epidemiology tool for COVID-19 surveillance in Portugal | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.identifier.doi | 10.1016/j.scitotenv.2021.150264 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2022-09-11 | |
dc.identifier.url | https://doi.org/10.1101/2021.07.21.21260905 | en |
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