Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/151583 |
Resumo: | Wastewater-based epidemiology has shown to be a promising and innovative approach to measure a wide variety of illicit drugs that are consumed in the communities. In the same way as for illicit drugs, wastewater-based epidemiology is a promising approach to understand the prevalence of viruses in a community-level. The ongoing coronavirus disease 2019 (COVID-19) pandemic created an unprecedented burden on public health and diagnostic laboratories all over the world because of the need for massive laboratory testing. Many studies have shown the applicability of a centralized wastewater-based epidemiology (WBE) approach, where samples are collected at WWTPs. A more recent concept is a decentralized approach for WBE where samples are collected at different points of the sewer system and at polluted water bodies. The second being particularly important in countries where there are insufficient connections from houses to municipal sewage pipelines and thus untreated wastewater is discharged directly in environmental waters. A decentralized approach can be used to focus the value of diagnostic tests in what we call targeted-WBE, by monitoring wastewater in parts of the population where an outbreak is likely to happen, such as student dorms, retirement homes and hospitals. A combination of centralized and decentralized WBE should be considered for an affordable, sustainable, and successful WBE implementation in high-, middle- and low-income countries. © 2022 The Authors |
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Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief reviewCOVID-19; Disease; Prevalence; SARS-CoV-2; Surveillance; Wastewater-based epidemiologyWastewater-based epidemiology has shown to be a promising and innovative approach to measure a wide variety of illicit drugs that are consumed in the communities. In the same way as for illicit drugs, wastewater-based epidemiology is a promising approach to understand the prevalence of viruses in a community-level. The ongoing coronavirus disease 2019 (COVID-19) pandemic created an unprecedented burden on public health and diagnostic laboratories all over the world because of the need for massive laboratory testing. Many studies have shown the applicability of a centralized wastewater-based epidemiology (WBE) approach, where samples are collected at WWTPs. A more recent concept is a decentralized approach for WBE where samples are collected at different points of the sewer system and at polluted water bodies. The second being particularly important in countries where there are insufficient connections from houses to municipal sewage pipelines and thus untreated wastewater is discharged directly in environmental waters. A decentralized approach can be used to focus the value of diagnostic tests in what we call targeted-WBE, by monitoring wastewater in parts of the population where an outbreak is likely to happen, such as student dorms, retirement homes and hospitals. A combination of centralized and decentralized WBE should be considered for an affordable, sustainable, and successful WBE implementation in high-, middle- and low-income countries. © 2022 The AuthorsElsevier20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/151583eng2352-771410.1016/j.onehlt.2022.100405Gonçalves, JTorres-Franco, ARodriguéz, EDiaz, IKoritnik, TSilva, PGDMesquita, JRTrkov, MParagi, MMuñoz, RGarcía-Encina, PAinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:11:58Zoai:repositorio-aberto.up.pt:10216/151583Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:56:50.193577Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
title |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
spellingShingle |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review Gonçalves, J COVID-19; Disease; Prevalence; SARS-CoV-2; Surveillance; Wastewater-based epidemiology |
title_short |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
title_full |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
title_fullStr |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
title_full_unstemmed |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
title_sort |
Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission – A brief review |
author |
Gonçalves, J |
author_facet |
Gonçalves, J Torres-Franco, A Rodriguéz, E Diaz, I Koritnik, T Silva, PGD Mesquita, JR Trkov, M Paragi, M Muñoz, R García-Encina, PA |
author_role |
author |
author2 |
Torres-Franco, A Rodriguéz, E Diaz, I Koritnik, T Silva, PGD Mesquita, JR Trkov, M Paragi, M Muñoz, R García-Encina, PA |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Gonçalves, J Torres-Franco, A Rodriguéz, E Diaz, I Koritnik, T Silva, PGD Mesquita, JR Trkov, M Paragi, M Muñoz, R García-Encina, PA |
dc.subject.por.fl_str_mv |
COVID-19; Disease; Prevalence; SARS-CoV-2; Surveillance; Wastewater-based epidemiology |
topic |
COVID-19; Disease; Prevalence; SARS-CoV-2; Surveillance; Wastewater-based epidemiology |
description |
Wastewater-based epidemiology has shown to be a promising and innovative approach to measure a wide variety of illicit drugs that are consumed in the communities. In the same way as for illicit drugs, wastewater-based epidemiology is a promising approach to understand the prevalence of viruses in a community-level. The ongoing coronavirus disease 2019 (COVID-19) pandemic created an unprecedented burden on public health and diagnostic laboratories all over the world because of the need for massive laboratory testing. Many studies have shown the applicability of a centralized wastewater-based epidemiology (WBE) approach, where samples are collected at WWTPs. A more recent concept is a decentralized approach for WBE where samples are collected at different points of the sewer system and at polluted water bodies. The second being particularly important in countries where there are insufficient connections from houses to municipal sewage pipelines and thus untreated wastewater is discharged directly in environmental waters. A decentralized approach can be used to focus the value of diagnostic tests in what we call targeted-WBE, by monitoring wastewater in parts of the population where an outbreak is likely to happen, such as student dorms, retirement homes and hospitals. A combination of centralized and decentralized WBE should be considered for an affordable, sustainable, and successful WBE implementation in high-, middle- and low-income countries. © 2022 The Authors |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/151583 |
url |
https://hdl.handle.net/10216/151583 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2352-7714 10.1016/j.onehlt.2022.100405 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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